Job description

Publication date : Oct 01, 2026, 12:00AM

Vidéo EVP
Déclaration de mission de l'entreprise

Join us at Orange Business!

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.

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.

À propos du rôle

As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and architectures to support the organization’s data strategy. Your primary focus will be on enabling enrichment needed by use cases on both cloud & non-cloud based data platform, help optimizing data ingestion, processing, and storage jobs, and ensuring data quality and security. Develop high-quality enablers & modules to enrich objectfs from data place in a datamesh model.

You will work closely with cross-functional teams to implement end-to-end data solutions, automate workflows, and enable data-driven decision-making.
Your key responsibilities include:
Developing and maintaining data pipelines for ingestion, transformation, modeling, and warehousing using technologies such as Hadoop, Spark, Kafka, NiFi, and cloud platforms like Azure, AWS, or Google Cloud.
Leading the migration of data use cases from existing on-prem Big Data platform to cloud Azure-based Big Data platform.
Defining detailed technical specifications based on user stories.
Designing strategies for data collection, processing, and visualization, ensuring optimal performance and scalability.
Automating data workflows and deploying them in DevOps environments.
Managing real-time streaming and batch processing modes based on use case requirements.
Expertly designing and implementing data cubes for efficient data aggregation and analysis.
Developing and optimizing complex SQL queries for data extraction, transformation, and loading (ETL) processes.
Optimizing data ingestion and query performance on distributed data lakes and SQL engines.
Ensuring the quality, security, and compliance of data solutions.
Documenting technical specifications and maintaining operational documentation.
Providing technical support and troubleshooting for data pipelines and solutions.
Staying updated with the latest Big Data and cloud technologies, and mentoring team members.
Developing and maintaining data pipelines within Microsoft Fabric.
Creating interactive dashboards and reports using Power BI to visualize data insights.
À propos de vous

Professional Skills:
Proven experience in managing large-scale data engineering projects within Big Data ecosystems.
Deep understanding of Hadoop components (HDFS, Hive, YARN, NiFi, Oozie, Kafka).
Expert-level proficiency in SQL, including advanced query optimization techniques and stored procedure development.
Strong proficiency in Spark (Scala, Python, Java) for data processing.
Extensive experience in designing and implementing data cubes for OLAP (Online Analytical Processing).
Hands-on experience with cloud platforms such as Azure (Data Factory, Synapse, Power BI), AWS, or Google Cloud.
Solid knowledge of data modeling and API integration.
Familiarity with container orchestration tools like Kubernetes.
Ability to analyze complex data workflows, troubleshoot issues, and optimize performance.
Good scripting skills in Linux environments for automation and administration.
Experience with Microsoft Fabric, including data integration, data warehousing, and data analytics capabilities.
Proficiency in creating and deploying Power BI dashboards and reports, including data modeling, DAX calculations, and data visualization techniques.
Soft Skills:
Excellent communication skills in both English and French, with the ability to collaborate effectively across diverse teams.
Strong analytical and problem-solving mindset, with a curiosity for exploring new technologies.
Autonomous, rigorous, and well-organized, capable of managing multiple priorities.
Proactive and innovative, with a focus on continuous improvement.
Ability to adapt to changing project requirements and work in a fast-paced environment.
Strong documentation skills and a commitment to maintaining high-quality technical records.
Ideal Profile:
Successful track record in data engineering within complex, distributed environments.
Experience working in agile teams and participating in data migration projects.
Proven ability to design, develop, and deploy data cubes and Power BI dashboards for business intelligence.
Experience building end-to-end data solutions using Microsoft Fabric and Power BI.
Passion for Big Data, cloud computing, and emerging data technologies.
You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.

You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.

Informations supplémentaires

• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
• Professional Development: training programs and upskilling/re-skilling opportunities.
• Career Growth: Internal growth and mobility opportunities within Orange.
• Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
• Reward Programs: Employee Referral Program, Change Maker Awards.

Égalité des chances en matière d'emploi

Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, 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.

Récompenses..

At Orange, only your skills matter.

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.