Database Developer Jobs
1366 Jobs Found
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>As a Senior Data Engineer, you will be responsible for designing, coding, testing, and deploying data ingestion, processing, modeling, and valorization pipelines, so that this data can be restored and visualized through web applications, using modern technologies.</p><p>Your main missions:</p><ul><li>Work on Data and Cloud environments, particularly GCP.</li><li>Exploit BigQuery and advanced SQL on large volumes of data.</li><li>Appropriation of new LLM technologies in its development routine</li><li>Manage real-time flows with Pub/Sub.</li><li>Automate data workflows via GitLab CI/CD and Docker Compose.</li><li>Version code with Git.</li><li>Collaborate in an agile environment (Scrum).</li><li>Data modeling and preparation: design optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses.</li><li>Meet deadlines while maintaining high standards of quality and excellence</li><li>Communicate clearly and effectively in writing and orally in French for fluid interactions with the business and teams</li><li>Analyze situations and propose appropriate solutions while identifying areas for improvement</li><li>Actively collaborate with team members, share knowledge and foster a collective spirit to achieve common goals</li><li>Apply a spirit of continuous improvement to optimize practices and results</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>For this position, you will need:</p><ul><li>Mastery of DBT for data transformation and orchestration.</li><li>Significant experience in data modeling and implementation of semantic layers with Looker/LookML</li><li>Knowledge of machine learning and Agentic</li><li>Experience with the Google suite.</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description: As a GCP Data Engineer, you will report to the data management team and will be responsible for: Managing the evolutionary and corrective maintenance of the various technical modules that operate the project's data platform. Integrating external data such as files, web service calls, or TOPIC consumption (WebMethod Universal Messenger and Kafka). Configurations on Terraform. SFTP server. IAM security. Management of a specific HTML/Java portal. ELT/KPI data pipeline via SQL. Managing the platform's runtime: Monitoring daily processes and resolving anomalies. Performance monitoring. Managing the obsolescence of the technologies used. Technology watch and roadmap tracking.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Education: Master's degree (Bac+5) in Computer Science or equivalent field. You have at least 3 years of experience as a Data Engineer on Google Cloud Platform. You must be able to integrate well into an Agile team, demonstrating strong listening, communication, and cooperation skills. You must possess analytical and synthesis skills, as well as excellent writing skills. Knowledge of the retail environment (sales/merchandising back office/supply chain back office/marketing) is preferred.</font></font></p><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a passionate Talend Engineer to join our team.</font></font></p> <p><font dir="auto" ><font dir="auto" >As part of ambitious digital transformation projects, you will be responsible for designing, developing and deploying high-performance data integration solutions.</font></font></p> <p><font dir="auto" ><font dir="auto" >You will work within a dynamic team, collaborating with experts to ensure the success of our projects.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></strong> </p> <ol> <li><font dir="auto" ><font dir="auto" >Data routing:</font></font></li> </ol> <ul> <li><font dir="auto" ><font dir="auto" >Gather the business needs of the different companies.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >D. Develop technical solutions for data collection</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Developing technical solutions for data storage</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Perform unit and integration tests.</font></font></li> </ul> <ol> <li><font dir="auto" ><font dir="auto" >Data provision:</font></font></li> </ol> <ul> <li><font dir="auto" ><font dir="auto" >To industrialize and automate data cleaning according to the selected specifications.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Manage, maintain, and document data flows</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ensure production monitoring and maintenance.</font></font></li> </ul> <ol> <li><font dir="auto" ><font dir="auto" >Monitoring of development projects:</font></font></li> </ol> <ul> <li><font dir="auto" ><font dir="auto" >establish the technical specifications based on the needs analysis.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Report the activity to the project manager.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong><font dir="auto" ><font dir="auto" >Search profile:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Engineer with advanced training.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have at least </font></font><strong><font dir="auto" ><font dir="auto" >3 years of experience in </font></font></strong><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >data engineering</font></font></strong><font dir="auto" ><font dir="auto" > issues </font><font dir="auto" >and skills in </font></font><strong><font dir="auto" ><font dir="auto" >Talend Data</font></font></strong><font dir="auto" ><font dir="auto" > Integration or </font></font><strong><font dir="auto" ><font dir="auto" >Talend Big Data in an </font></font></strong><font dir="auto" ><strong><font dir="auto" >agile</font></strong><font dir="auto" > context .</font></font><strong><font dir="auto" ></font></strong> </li> <li><font dir="auto" ><font dir="auto" >You have knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >data architectures</font></font></strong><font dir="auto" ><font dir="auto" > and cloud environments</font></font></li> <li><font dir="auto" ><font dir="auto" >You have experience in data visualization </font></font><strong><font dir="auto" ><font dir="auto" >(Power BI, Tableau, QlikView, D3.js)</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" >You are proficient in at least one specific programming language </font></font><strong><font dir="auto" ><font dir="auto" >(Spark, Scala, Python, Java, SQL)</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" >You are proficient in operating systems (UNIX, Linux, Solaris) with expertise in data storage and </font></font><strong><font dir="auto" ><font dir="auto" >ETL tools.</font></font></strong> </li> <li><font dir="auto" ><font dir="auto" >Always on the lookout for new technologies and you like to change (Events, conferences, meetups, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Proactive and solution-oriented, you feel free to take risks and excel by sharing your ideas.</font></font></li> <li><font dir="auto" ><font dir="auto" >You are fluent in both spoken and written English.</font></font></li> </ul> <p> </p></div><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >Within the Technology Department, the BI/Data team manages and executes Business Intelligence and Data Engineering projects, ensuring the quality, performance and scalability of the solutions.</font></font></p> <p><font dir="auto" ><font dir="auto" >You will play a key role in the design, optimization, and monitoring of our data pipelines. You will contribute your Databricks expertise to improve the architecture, performance, and reliability of our data flows for internal clients.</font></font></p> <p> <strong> <em><font dir="auto" ><font dir="auto" >Main tasks:</font></font></em> </strong> </p> <p><font dir="auto" ><font dir="auto" >As a Databricks expert, you will be involved in the main aspects of designing, optimizing, and developing the data platform:</font></font></p> <ul> <li> <p><font dir="auto" ><font dir="auto" >Design, develop and optimize data processing and transformation pipelines on </font></font><strong><font dir="auto" ><font dir="auto" >Azure Databricks</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Lake</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Define and implement robust and scalable data architectures to support the growth of data volumes.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Implement automated tests and guarantee the quality and reliability of data pipelines.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Participate in the definition and optimization of </font></font><strong><font dir="auto" ><font dir="auto" >CI/CD</font></font></strong><font dir="auto" ><font dir="auto" > pipelines via </font></font><strong><font dir="auto" ><font dir="auto" >Azure DevOps</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Apply best practices in </font></font><strong><font dir="auto" ><font dir="auto" >Data Engineering</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >software engineering</font></font></strong><font dir="auto" ><font dir="auto" > at all stages of development.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Collaborating with Data Product Owners and business teams to propose innovative solutions tailored to needs.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Supervise data processing and ensure monitoring via </font></font><strong><font dir="auto" ><font dir="auto" >Datadog</font></font></strong><font dir="auto" ><font dir="auto" > or equivalent tools.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >Identify and implement optimizations to improve performance and reduce costs on Databricks.</font></font></p> </li> </ul> <p> <em> <strong><font dir="auto" ><font dir="auto" >Main technical environment:</font></font></strong> </em> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Languages</font></font></strong><font dir="auto" ><font dir="auto" > : SQL, PySpark, Python, Scala.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Tools & BI</font></font></strong><font dir="auto" ><font dir="auto" > : Power BI, SSIS, SSAS, Business Objects, Datadog, Snyk.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Cloud & Data</font></font></strong><font dir="auto" ><font dir="auto" > : Azure Databricks, Azure Data Factory, ADLS Gen2.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >CI/CD & DevOps</font></font></strong><font dir="auto" ><font dir="auto" > : Git, Azure DevOps.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" ><font dir="auto" ><b>Qualifications </b></font></font></p><div> <p> <em> <strong><font dir="auto" ><font dir="auto" >Your strengths to make a difference:</font></font></strong> </em> </p> <ul> <li><font dir="auto" ><font dir="auto" >Master's degree (Bac+5) in computer science, engineering or equivalent field.</font></font></li> <li><font dir="auto" ><font dir="auto" >Minimum 5 years of experience in </font></font><strong><font dir="auto" ><font dir="auto" >Data Engineering, Data Architecture or Databricks</font></font></strong><font dir="auto" ><font dir="auto" > , with experience in leading teams or projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced mastery of several languages: </font></font><strong><font dir="auto" ><font dir="auto" >Python, PySpark, Scala, SQL</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Proven expertise in the </font></font><strong><font dir="auto" ><font dir="auto" >development and optimization of Databricks pipelines</font></font></strong><font dir="auto" ><font dir="auto" > , with the ability to define technical standards and best practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastering </font></font><strong><font dir="auto" ><font dir="auto" >Spark UI</font></font></strong><font dir="auto" ><font dir="auto" > to diagnose and improve the performance of complex treatments.</font></font></li> <li><font dir="auto" ><font dir="auto" >Very good knowledge of the </font></font><strong><font dir="auto" ><font dir="auto" >Azure Cloud</font></font></strong><font dir="auto" ><font dir="auto" > ecosystem and its data-oriented services (ADF, ADLS, Databricks).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience in implementing good development practices: </font></font><strong><font dir="auto" ><font dir="auto" >clean code, versioning, unit testing, CI/CD</font></font></strong><font dir="auto" ><font dir="auto" > , and BI modeling principles.</font></font></li> <li><font dir="auto" ><font dir="auto" >Advanced practice of </font></font><strong><font dir="auto" ><font dir="auto" >dbt</font></font></strong><font dir="auto" ><font dir="auto" > or similar frameworks for SQL transformation and data orchestration.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience working in </font></font><strong><font dir="auto" ><font dir="auto" >Agile methodology</font></font></strong><font dir="auto" ><font dir="auto" > , in collaboration with Product Owners, Data and project teams.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Leadership and team spirit</font></font></strong><font dir="auto" ><font dir="auto" > : able to guide and coach team members, make strategic decisions and propose innovative solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to adapt quickly in a constantly evolving technical environment and proactive in suggesting improvements to architecture and processes.</font></font></li></ul></div><p></p></section>
<h2 class="h5">Job description</h2>
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<p><strong>Who we are ?</strong></p><br><p><span>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</span></p><br><p><span>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</span></p><br><p><span>We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</span></p><br><p>&nbsp;</p><br><p>Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics &amp; Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI.&nbsp;</p><br><p><strong>Responsibilities : </strong>In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:</p><br><ul><li>Qualify the feasibility of Use Cases, translating business challenges into technical formulations</li><li>Define the business and statistical hypothesis, and build the solution followed by testing and validation</li><li>For those Use Cases that are validated, you will help develop a production-ready solution.</li></ul><p>When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution. You develop data visualisation features to generate insights and support data storytelling. You iterate with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact. You design, build, maintain, and troubleshoot the data models integrated into the solutions delivered :&nbsp;</p><br><ul><li>Assess the quality of the data; clean and aggregate when necessary</li><li>Compare and choose the right algorithms based on defining the right statistical hypothesis</li><li>Develop and train models</li><li>Follow principles of MLOps when moving models to productions</li><li>Troubleshoot the models in production</li></ul><p><strong>Profile Minimum requirements</strong> :&nbsp;</p><br><ul><li>Must have at least 3 years of prior Data Science experience</li><li><strong>VERY</strong>Proficient in Python</li><li>Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline</li><li>Excellent interpersonal and communication skills</li><li>Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms</li><li>Ideally Fluent in English</li></ul><p><strong>Preferred requirements</strong> :&nbsp;</p><br><ul><li>Preferred experience in Consulting;</li><li>Preferred experience in Cloud Technologies;</li><li>Good knowledge of Spark;</li><li>Good knowledge of MLOps principles.<br></li></ul><p><strong>Come join us !&nbsp;</strong></p><br> </div>
<h2 class="h5">Job description</h2>
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Company culture : <p><strong>BTechnologie</strong> is characterized by a corporate culture primarily driven by <strong>organization</strong>, where rigor, reliability and operational efficiency are key drivers of performance. This structured environment is strengthened by a strong <strong>collaborative</strong> dimension, promoting team spirit, quality relationships and supportive leadership. The company also embraces a culture of <strong>performance and challenge</strong>, with a clear focus on results and excellence. Complementing these strengths, an <strong>innovative</strong> mindset brings openness to change and continuous improvement.
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<br> Job : <p>As part of strengthening our teams, BTechnologie, a subsidiary of Bouygues Telecom, is looking for a Data Analyst with experience in the FTTH and Telecom world.</p><br><br><p><strong>Your mission:</strong></p><br><br><ul><li>Collect, consolidate, and analyze data from FTTH activities.</li><li>Develop and maintain reporting and steering dashboards.</li><li>Identify trends, anomalies, and levers for performance improvement.</li><li>Produce analyses to optimize FTTH operations processes and quality.</li><li>Implement and monitor Telecom / FTTH KPIs.</li><li>Automate and ensure the reliability of data processing and reporting.</li><li>Collaborate with business, technical, and operational teams to translate needs into relevant data solutions.</li><li>Ensure the quality, consistency, and reliability of the data used.</li></ul> <br> <br> Required profile : <ul><li>Master's degree (Bac+4/5) in Data, Statistics, IT, Telecom, or equivalent field.</li><li>2 to 5 years of experience in Data Analysis, ideally in a Telecom / FTTH environment.</li><li>Good understanding of processes and issues related to the deployment and operation of FTTH networks.</li><li>Proficiency in SQL.</li><li>Very good command of Excel: advanced formulas, Pivot Tables, lookups, analysis, and ideally Power Query.</li><li>Proficiency in Power BI for creating dashboards and data visualization.</li><li>Skills in Python for analysis and automation would be a plus.</li><li>Analytical mindset, rigor, and ability to transform data into concrete recommendations.</li><li>Good interpersonal skills and ability to work with various business and technical stakeholders.</li></ul> <br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Responsible for executing test cases, validating results and managing test data, primarily in remote-capable environments ( SiL , log-based validation, partially HiL support) Structured and disciplined execution mindset Ability to interpret results, not just record them Experience with large test campaigns</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Expertise Execute defined test cases in SiL / remote environments</li><li>Collect and analyze test data and logs</li><li>Identify deviations and prepare structured reports</li><li>Support PR (Problem Report) creation and tracking</li><li>Ensure data quality and completeness</li><li>Interface with automation and test design teams</li><li>Experience in Test execution, Data analysis, log interpretation</li><li>Basic understanding of vehicle systems and ECU behavior</li><li>Experience between 3 - 5 years'</li></ul><p></p></section>
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<p>Performance et support</p><br><br><p>Achats - Administration d'achats</p><br><br><p>Data Analyst F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur & Cadre</p><br><br><p>Temps complet</p><br><br><p>Intégrez le Service Data, Compliance et Performance au sein de la Direction Excellence Opérationnelle et Digitalisation rattachée à la direction des achats Hors Production (Safran Purchasing) du groupe SAFRAN. Vous serez au cœur de projets stratégiques dédiés à la digitalisation et à la modernisation du reporting décisionnel. Vous participerez à la transformation digitale de la direction dans une ambiance collaborative, avec de réels enjeux Data qui contribue à notre efficacité, à l'innovation, l'amélioration continue et la conformité.<br>Vos missions seront :<br>• Concevoir, faire évoluer et documenter les dashboards et leurs modèles de données sous-jacents sous Power BI Services en étant force de proposition<br>• Préparer des données variées pour leur migration et leur injection dans des applications en production<br>• Réaliser et mettre en œuvre des scripts de nettoyage, de mise en qualité et de fiabilisation des données<br>• Rédiger des cahiers des charges fonctionnels pour faire réaliser les Robotic Process Automations (RPA) nécessaires pour assurer la continuité des flux de données<br>• Assurer et surveiller le RUN des différents outils et pipeline en place pour garantir le maintien opérationnel des applications et reportings en production<br>• Mener des analyses structurées et approfondies pour comprendre et résoudre les incidents qui pourraient survenir. Mettre en œuvre et piloter les actions corrective et préventives</p><br><br><p>Compétences outils<br>• Power BI Desktop / Service<br>• Python<br>• Notions API / flux / fichiers plats<br>• Excel avancé<br>• Une connaissance de Dataiku est un plus<br>• Une connaissance des bases SQL est aussi un plus<br>Compétences projet<br>• Vous bénéficiez d'une expérience Data pour le compte des Métiers Achats, Supply Chain ou Marketing/Ventes<br>• Vous maitrisez les fondamentaux de la gouvernance de la données, le catalogage, la data quality.<br>• Animation d'ateliers métier, préparation et validation des comptes rendus<br>• Formalisation de besoins fonctionnels (collecte des besoin métiers, synthèse, organisation des arbitrage, validation)<br>• Suivi d'incidents et de risques.<br>Vous serez basé à Casablanca et travaillerez principalement en collaboration avec le chef de projet digitalisation, le Data Manager et les acheteurs de la direction.<br>Déplacements fréquents à Malakoff (France) à prévoir.<br>Soft skills<br>• Bilingue en français<br>• Anglais courant à l'écrit et à l'oral<br>• Expériences dans le pilotage de projets et la conduite du Change Management<br>• Autonomie avec un sens du Reporting<br>• Orienté amélioration continue<br>• A l'écoute, ouvert et pédagogue<br>• Méthodique, rigoureux et pragmatique.<br>• Sens du service, excellent relationnel avec aisance en fonctionnement transverse<br></p><br><br><br> </div>
<h2 class="h5">Job description</h2>
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<p><strong>Publication date :</strong> Jul 27, 2026, 12:00AM</p><br><br><p><strong>Contract duration : </strong></p><br><br>Vidéo EVP<br>Déclaration de mission de l'entreprise<p>Join us at Orange Business!<br>We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.<br>Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.</p><br><br>À propos du rôle<p><span>The ‘Data Product Owner – Billing Accounts’ supports the Head of Master & Referential Data in defining, delivering and managing a global solution for managing the lifecycle of customers’ billing account data, including data definition, processes, data quality and referential system roadmap.</span></p><br><br><p><span>This role is part of a small core team responsible for the Customer Master Data at the heart of the Orange Business digital customer & employee journey strategy, and will work in close collaboration with the other data product owners to share expertise and ensure alignment. It is a marketing-orientated role, ensuring we hold and exploit the right data at the right quality to deliver operational efficiency, customer journey, commercial advantage, and therefore both customer experience excellence and business growth.</span></p><br><br><p><span><span>key accountabilities</span></span></p><br><br><p><span><span>key result / decision areas (outcomes)</span></span></p><br><br><p><span>Business use cases and value of the data</span></p><br><br><ul><li><span>Be recognized as the business expert on Billing Account data, across all channels), supporting projects and portfolios in the correct creation and consumption of this data.</span></li><li><span>Engage with business stakeholders in International / DGC / DEF and other BUs as required to capture and prioritise requirements for billing account data management, and assess the value-add of prioritized requirements..</span></li><li><span>Maximise exploitation of customer data for operational & analytical purposes by working with consuming teams & systems to facilitate and ensure correct use of customer data within wider capabilities.</span></li></ul><br><p><span>Data definition and documentation</span></p><br><br><ul><li><span>Ensure data model is fully documented in our data management system to facilitate understanding and consumption of the data.</span></li></ul><br><p><span>User access to the data</span></p><br><br><ul><li><span>Responsible for providing users with easy and clear access to relevant data, whether as individial records or as bulk reporting, via portal, EDH, PowerBI or other mechanisms.</span></li><li><span>Responsible for ensuring appropriate access controls to customer data, complying with regulatory, security & confidentiality</span><span>requirements while maximizing demoicratization to facilitate delivery of value.</span></li></ul><br><p><span>Data quality monitoring, management & lifecycle process</span></p><br><br><ul><li><span>Responsible for optimizing the quality of billing account data. Work closely with Data Stewards / Data Quality team to identify KPIs and monitor & report the quality (accuracy & completeness) of customer billing account records; oversee activity to correct any errors and fix the root cause of any identified issues (whether process or technical).</span></li></ul><br><p><span>Business representative for referential tool roadmap</span></p><br><br><ul><li><span>Providing leadership to IT teams (CTIO, DTSI) to develop & deliver in line with business needs, setting business priorities and securing budgetary cover, reviewing , tracking and reporting on progress vs plan.</span></li><li><span>Drive delivery of a scopeless billing account referential solution, to support CurrentCo and NewCo ecosystems.</span></li><li><span>Take Epic owner position if required for driving delivery of customer data epics / envelopes though the SAFe portfolio model.</span></li></ul><br>À propos de vous<p></p><p><span><span>knowledge and abilities</span></span></p><br><br><p><span><span>Ability to engage effectively with business stakeholders to capture and debate strategic & operational priorities.</span></span></p><br><br><p><span><span>Project management skills to translate agreed priorities into a successful delivery.</span></span></p><br><br><p><span><span>Ability to engage effectively with IT teams to communicate needs clearly and discuss technical limitations / impacts.</span></span></p><br><br><p><span><span>Ability to find common purpose & direction in a diverse group of stakeholders.</span></span></p><br><br><p><span><span>Effectvie working level of English and French.</span></span></p><br><br><br><br><p><span><span>education, qualifications, and certifications</span></span></p><br><br><p><span><span>Academic business degree or equivalent, (business administration, information management)</span></span></p><br><br><p><span><span>Subject matter Expertise,</span></span></p><br><br><br><br><p><span><span>Experience</span></span></p><br><br><p><span><span>MS Office, Teams, Data Quality Platforms, meta data, Data Visualisation</span></span></p><br><br><p><span>Minimum 5 years experience of data management / data process / quality management</span></p><br><br><p>You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.</p><br><br>Informations supplémentaires<p><strong>• Global Opportunities:</strong> Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.<br><strong>• Flexible Work Environment:</strong> Flexible working hours and possibility to combine work from office and home (hybrid ways of working).<br><strong>• Professional Development:</strong> training programs and upskilling/re-skilling opportunities.<br><strong>• Career Growth:</strong> Internal growth and mobility opportunities within Orange.<br><strong>• Caring and Daring Culture:</strong> Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.<br><strong>• Reward Programs:</strong> Employee Referral Program, Change Maker Awards.</p><br><br>Égalité des chances en matière d'emploi<p>Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.</p><br><br>Récompenses..<p> At Orange, only your skills matter.
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<p> Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p><font dir="auto" ><font dir="auto" >Within a team composed of data scientists and data engineers organized in Scrum Agile mode, you will work to implement forecasting calculation tools (forecasting store needs for warehouse supply, forecasting warehouse load, etc.).</font></font></p> <p><font dir="auto" ><font dir="auto" >In this context, you will be amenable to:</font></font></p> <p><font dir="auto" ><font dir="auto" > Structure, plan and coordinate the team's work, actively collaborating with data scientists, the lead data scientist, data analysts, the product owner, third-party teams and other technical teams.</font></font></p> <p><font dir="auto" ><font dir="auto" > align the construction of analytical and technical solutions with business and industry challenges</font></font></p> <p><font dir="auto" ><font dir="auto" > to advise, guide, and ensure the skills development of the various engineers on the team</font></font></p> <p><font dir="auto" ><font dir="auto" > to be responsible for the team's data science and software development methodologies (facilitating in particular the qualification of sub-projects, iterative developments, the industrialization of solutions, their maintainability, the measurement and monitoring of their performance)</font></font></p> <p><font dir="auto" ><font dir="auto" > to arbitrate technical debates if necessary</font></font></p> <p><font dir="auto" ><font dir="auto" > to remain attentive to new developments, in order to be able to challenge them and propose solutions if needed</font></font></p> <p><font dir="auto" ><font dir="auto" > contribute to the topics as data scientists</font></font></p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p><font dir="auto" ><font dir="auto" > A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></p> <p> Exp rience de plus de 7 ans en SQL / BigQuery, Python, GCP, Git, DBT </p></div><p></p></section>
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<br> Company culture : <p><strong>Axa Services Maroc</strong> operates within a strongly <strong>collaborative culture</strong>, where people, trust, and high-quality professional relationships are central. The company <strong>promotes</strong> close and supportive management, encouraging accountability, development, and teamwork. This human-centered environment is <strong>reinforced</strong> by robust organizational practices that ensure reliability and operational efficiency. It is <strong>balanced</strong> by a performance-oriented mindset and a measured openness to innovation, supporting collective success.
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<br> Job : <p><strong>Role and main mission:</strong></p><br><br><p><br><strong>Reporting to the Head of the Compliance, Internal Control, and Security Department,</strong> your main mission is to <strong>ensure the organization's compliance with current regulations (particularly GDPR) regarding personal data protection, and to manage risks related to the confidentiality and security of data.</strong></p><br><br><p>Main responsibilities</p><br><br><p><br><strong>1. Regulatory and strategic watch</strong></p><br><br><p>Continuously monitor regulatory changes (GDPR, local laws, CNDP recommendations, etc.)<br>Support management on legal and strategic issues related to data protection</p><br><br><p><strong>2. Data compliance and governance</strong></p><br><br><p>Define, deploy, and maintain the personal data protection policy<br>Manage and update the register of processing activities<br>Implement and manage:</p><br><br><p>Consent management systems<br>Procedures for exercising data subject rights<br>Data breach management processes</p><br><br><p>Conduct impact assessments (DPIA) and support business projects<br>Lead structural topics: data mapping, cookies, Privacy by Design<br>Supervise data purging campaigns (structured and unstructured)<br>Manage the dedicated personal data mailbox<br>Handle requests for exercising rights and complaints<br>Ensure processing compliance and monitor declarations to the CNDP</p><br><br><p><strong>3. Awareness and training</strong></p><br><br><p>Design and deliver training and awareness sessions for employees<br>Promote a data protection culture within the organization</p><br><br><p><strong>4. Incident management and audits</strong></p><br><br><p>Supervise the management of incidents related to personal data (breaches, leaks)<br>Keep the incident register up to date<br>Lead or coordinate GDPR compliance audits<br>Define and monitor corrective action plans</p><br><br><p><strong>5. Relations with control authorities</strong></p><br><br><p>Be the preferred point of contact with the CNDP<br>Ensure mandatory declarations (incidents, files, reports)<br>Manage exchanges and controls with authorities</p><br><br><p><strong>6. Advice and support</strong></p><br><br><p>Support business units and data controllers in their projects<br>Integrate GDPR requirements from the design stage (Privacy by Design / by Default)</p><br><br> <br> <br> Required profile : <p>You have <strong>a Master's degree (Bac + 5) in a legal field (business law, digital law, personal data law), computer science (information system security), or a business school with a specialization in compliance or risk management.</strong></p><br><br><p><strong>Professional experience:</strong><br>Minimum <strong>2 to 3 years of experience in similar roles</strong> (lawyer specializing in personal data, compliance auditor, or GDPR consultant)</p><br><br><ul><li>In-depth knowledge of GDPR</li><li>Knowledge of "Privacy by Design" and "Privacy by Default" methodologies</li><li>Management of data processing mapping tools</li><li>Information system security (ISS) principles</li><li>Project management</li></ul> <br><br> </div>
<p><font dir="auto" ><font dir="auto" >Gather and analyze the needs of business teams and translate them into KPIs and reporting solutions. Design, develop, and maintain Power BI dashboards. Build relevant and high-performing data models. Develop measures and indicators in DAX. Perform necessary transformations with Power Query. Ensure the quality, consistency, and reliability of the presented data. Optimize the performance of Power BI reports and models. Implement user-friendly visualizations to facilitate analysis and decision-making. Participate in the automation and industrialization of reporting. Collaborate with business and Data Engineering teams to identify and leverage the right data sources. Document the developed KPIs, models, and dashboards.</font></font></p><p><strong>Desired Candidate Profile</strong></p><ul><li><font dir="auto" ><font dir="auto" >Engineering degree (Master's level)</font></font></li><li><font dir="auto" ><font dir="auto" >Very good mastery of Power BI.</font></font></li><li><font dir="auto" ><font dir="auto" >Good luck with your DAX trip.</font></font></li><li><font dir="auto" ><font dir="auto" >Good knowledge of Power Query and data modeling.</font></font></li><li><font dir="auto" ><font dir="auto" >Good understanding of the principles of Data Visualization and Data Storytelling.</font></font></li><li><font dir="auto" ><font dir="auto" >Ability to understand functional requirements and translate them into relevant indicators.</font></font></li><li><font dir="auto" ><font dir="auto" >Minimum 2 years of experience in a similar position.</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of SQL.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience or knowledge of Google BigQuery.</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of a Google Cloud Platform (GCP) environment.</font></font></li><li><font dir="auto" ><font dir="auto" >Concepts of governance and data quality.</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of BigQuery cost/query optimization issues would be a plus.</font></font></li></ul>
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<span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
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<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
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<br> Job : <p>The consultant will be responsible for:</p><br><br><ul><li>Gathering, analyzing, and formalizing business needs for reporting, steering, and data analysis.</li><li>Designing, developing, and maintaining dashboards and analytical reports.</li><li>Using BigQuery to produce reliable, structured, and actionable analyses.</li><li>Understanding and using data from BigTable in a GCP environment focused on volume / near real-time data.</li><li>Producing ad hoc analyses to support business teams in decision-making.</li><li>Defining, tracking, and ensuring the reliability of KPIs.</li><li>Ensuring the quality, consistency, and availability of data used in reports.</li><li>Collaborating with Data / Product / Business teams to transform business needs into decision-making indicators.</li></ul> <br> <br> Required profile : <p>Graduated with a Master's degree (Bac+5) from an engineering school or equivalent university with a specialization in IT, or with equivalent significant experience.</p><br><br><p><u><strong>Experience</strong></u>: 3 to 7 years in data analysis, reporting, visualization, and performance management.</p><br><br><ul><li>Solid experience in SQL, BigQuery, and Data Visualization tools.</li><li>Good understanding of complex data environments on GCP, including BigTable.</li><li>Experience in the retail / mass distribution sector is a plus.</li></ul><p><strong><u>Required Skills:</u></strong></p><br><br><ul><li>Advanced proficiency in SQL for data exploration, transformation, and analysis.</li><li>Very good command of BigQuery for handling large volumes of data.</li><li>Good understanding of BigTable and its role in the data ecosystem, especially for processing data from large or near real-time sources.</li><li>Proven experience with a Data Visualization tool (Looker Studio, Power BI, Tableau…).</li><li>Good understanding of data modeling issues and KPI construction.</li><li>Experience in business analysis, needs gathering, and functional formalization.</li><li>Ability to produce clear, reliable, and decision-oriented dashboards.</li><li>Good understanding of data quality and governance issues.</li><li>Proficiency in Excel / Google Sheets for complementary analyses.</li><li>Good knowledge of the GCP ecosystem.</li><li>Knowledge of dbt (a plus).</li><li>Knowledge of Agile methodologies (Scrum, backlog, sprint…).</li></ul><p><u><strong>Soft Skills:</strong></u></p><br><br><ul><li>Excellent interpersonal and clear communication skills.</li><li>Analytical mindset and rigor.</li><li>Synthesis skills.</li><li>Business orientation.</li><li>Proactivity and autonomy.</li><li>Team spirit.</li></ul> <br><br> </div>
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Company culture : <p><strong>Manpower Agences</strong> operates within a highly balanced culture, where <strong>collaboration</strong> plays a key role in the work environment. The company values close leadership, trust and collective engagement, while placing equal importance on <strong>performance</strong> and achieving results. This dynamic is supported by a <strong>structured organizational approach</strong>, promoting rigor, efficiency and quality execution. Openness to innovation further strengthens this balance, supporting adaptability in an evolving market.
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<br> Job : <p>We are recruiting a Senior Data Analyst - Casablanca<br>Your main tasks:<br>• Collect, clean, and structure databases.<br>• Perform statistical analyses and interpret results.<br>• Design and automate dashboards and reports.<br>• Identify trends, behaviors, and key performance indicators.<br>• Produce summaries and recommendations based on analyzed data.<br>• Collaborate with research and operational teams to meet client needs.<br>• Participate in the continuous improvement of data analysis tools and processes.<br> </p><br><br> <br> <br> Required profile : <p><br>• Higher education (Bac+4/5) in statistics, data science, business intelligence, applied mathematics, economics, or a similar field.<br>• Solid mastery of quantitative data analysis.<br>• Excellent command of Excel and statistical analysis tools (SPSS, R, Python, or equivalent).<br>• Mastery of data visualization tools (Power BI, Tableau, or equivalent).<br>• Excellent analytical, synthesis, and problem-solving skills.<br>• Organizational skills, autonomy, and rigor.<br>• Good ability to communicate complex results clearly and accessibly.<br>• Good command of professional French and English.<br> Appreciated assets:<br>• Experience in the health, nutrition, wellness, or beauty sectors.<br>• Experience in a research institute or in consumer data analysis.<br>Position based in Casablanca<br> </p><br><br> <br><br> </div>
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<br>Company Description<br><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.</p><br><br>Job Description<br><br><p>Senior Data Security Engineer (Insider Risk Management – Engineering), AbbVie Inc., Cambridge, MA; Hybrid (onsite 3 days a week/ 2 days WFH/remote).</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Create new DLP content to aid in protection of company IP.</li><li>Configure preventative controls for email, print, web & removable media data movement actions.</li><li>Analyze DLP events & escalations to customize & improve existing use cases.</li><li>Implement dashboards, metrics & reports associated with data loss actions identified.</li><li>Focus on implementation of data at rest solution to identify unprotected unstructured data within corporate ecosystem.</li></ul><br>Qualifications<br><br><p><strong>Education & Experience</strong></p><br><p>Must possess a Bachelor’s Degree in Information Security, Cyber Security or related degree & 5 years managing & supporting networking concepts, data loss technologies & enterprise engineering related to security solutions</p><br><p>Of work experience required, must have 5 years:</p><br><ol><li>evaluating & (re)configuring data loss utilizing prevention (DLP) tools to implement technology support;</li><li>administrating & managing data classification, DLP policy creation configuration within a global organization, working across multiple geographic regions;</li><li>integrating technology solutions & ensuring continuous data ingestion for security event correlation using Splunk;</li><li>troubleshooting use cases & policy events to ensure accuracy & integrity of the data being presented to support lines of business; &</li><li>performing insider risk data mapping, including identification & remediation of critical asset data within our cloud & network storage locations.</li></ol><p>Alternatively, would accept a Master's in Information Security, Cyber Security or related degree & 6 months managing & supporting networking concepts, data loss technologies & enterprise engineering related to security solutions.</p><br><p>Of work experience required, must have 6 months:</p><br><ol><li>evaluating & (re)configuring data loss utilizing prevention (DLP) tools to implement technology support;</li><li>administrating & managing data classification, DLP policy creation configuration within a global organization, working across multiple geographic regions;</li><li>integrating technology solutions & ensuring continuous data ingestion for security event correlation using Splunk;</li><li>troubleshooting use cases & policy events to ensure accuracy & integrity of the data being presented to support lines of business; &</li><li>performing insider risk data mapping, including identification & remediation of critical asset data within our cloud & network storage locations.</li></ol><p>Work experience may be gained concurrently. Would accept reasonable combination of work, education and training.</p><br><br>Additional Information<br><br><p>Salary Range: $154,586.00 - $162,000.00 per year.</p><br><p>Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF49862K</p><br><p>----------------------------------------------------------------------------</p><br><p>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term and long-term incentive programs.</p><br><p>AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. </p><br><p>US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>
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<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Responsible for executing test cases, validating results and managing test data, primarily in remote-capable environments ( SiL , log-based validation, partially HiL support) Structured and disciplined execution mindset Ability to interpret results, not just record them Experience with large test campaigns</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>EXPERTISE Execute defined test cases in SiL / remote environments</li><li>Collect and analyze test data and logs</li><li>Identify deviations and prepare structured reports</li><li>Support PR (Problem Report) creation and tracking</li><li>Ensure data quality and completeness</li><li>Interface with automation and test design teams</li><li>Experience in Test execution, Data analysis, log interpretation</li><li>Basic understanding of vehicle systems and ECU behavior</li><li>Experience between 3 - 5 years'</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>