CONSULTANT

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.

With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

About Atos Group

Atos Group is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.

Job Description

As a Data Engineer, you will design, build, and support high-quality data solutions and pipelines using modern engineering practices and tools. In this role, you will partner closely with product managers, software engineers, and data analysts to deliver scalable, reliable data capabilities that power digital products and business insights. You will be accountable for the end‑to‑end lifecycle of your data products, from design and implementation through production support, data quality, and performance against key metrics.

Key Responsibilities

Design, Build & Manage Data Solutions

• Design, develop, and enhance scalable data pipelines and data processing systems.
• Build reusable ingestion, transformation, and storage patterns to support product and analytical needs.
• Integrate data from diverse sources including APIs, databases, event streams, and third‑party systems.
• Implement data models and schemas that create unified, consistent views of business operations.

Engineering Excellence

• Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments.
• Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools.
• Optimize data workflows for performance, cost efficiency, and operational resilience.
• Document data flows, lineage, and technical components in support of transparency and maintainability.

Product Collaboration & Delivery

• Collaborate closely with product managers, engineers, and analysts to understand data requirements.
• Participate in iteration planning, ensuring shared understanding of backlog items and technical needs.
• Engage in daily standups, retrospectives, and product ceremonies as an active member of the team.

Governance, Standards & Continuous Improvement

• Contribute to data governance practices such as metadata management and data lineage.
• Ensure compliance with data privacy, security, and regulatory requirements.
• Evaluate new technologies, frameworks, and patterns to improve data infrastructure and engineering capabilities.
• Share knowledge and mentor less experienced engineers, contributing to team growth and best practices.

Core Skills – All Data Engineers

• Strong proficiency with data pipeline development in Python, Java, or Scala.
• Experience with modern data frameworks (Spark, Kafka, Flink, dbt, or equivalent).
• Solid understanding of SQL and NoSQL databases and data modeling principles.
• Ability to optimize SQL, pipelines and storage for performance and cost.
• Experience building batch and/or streaming data solutions.
• Experience using Microsoft Fabric Notebooks to develop, debug, and operationalize data engineering workflows.
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Experience with observability and monitoring tools (Datadog preferred).
• Ability to work in collaborative, iterative, product‑centric team environments.
• Strong communication and problem‑solving skills.

Preferred Skills

• Experience with cloud data services (Azure, AWS).
• Hands‑on experience with Microsoft Fabric components, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, and Semantic Models.
• Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.).
• Performance tuning for data pipelines, databases, and queries.
• Familiarity with generative and agentic AI tools to improve engineering productivity.

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. 

Choose your future. Choose Atos.