Data Engineer H/F - Paris

Our tasks: We work with our clients on 100% of data-related tasks, combining technical and strategic aspects where data is the driving force behind operational efficiency. As a Data Engineer, you are the architect who makes data usable. Depending on your profile, you will participate in building robust data platforms (Data Lakehouse) or in industrializing complex processing flows intended for AI. Our clients (Luxe, Retail, Telecom, Bank...) are facing explosive growth in data volumes and sources. Your role will be to ensure the fluidity, quality, and security of these flows. Some examples of current topics:

• Migration of a legacy on-premise architecture to a cloud Lakehouse architecture (Snowflake/Databricks). CloudMigration
• Industrializing complex pipelines on GCP (BigQuery, Dataform) with a strong observability culture (Dynatrace) and CI/CD. Orchestration
• Deployment of AI applications, APIs, and services (ML forecasting algorithms, conversational agents, etc.) MLOps
• Auditing and re-engineering data ingestion pipelines to reduce compute and storage costs on GCP or AWS. Performance
• Development of Kafka components, exposure via API, and ensuring the performance of real-time flows on an international scale. Streaming

The Human Factor: We are looking for talents:

• With excellent communication skills to bridge the gap between business needs and IT constraints,
• With a desire to build scalable and reliable infrastructures,
• With a rigorous analytical mindset,
• Who prioritize code quality (CI/CD, unit tests) and technical documentation (Confluence/Jira),
• Curious about new trends (DataOps, generative AI applied to code),
• Sensitive to Corporate Social Responsibility (CSR) issues to implement sustainable digital practices,
• Eager to share knowledge and learn within an active technical community,
• With professional English proficiency for international contexts,
• With at least four years of experience in data engineering tasks.

Technical Skills: You are a university or prestigious engineering school graduate with a data background, and:

• You have excellent command of Python and SQL (analytical and procedural),
• You have solid experience with a workflow orchestrator (Airflow, Prefect, or Dagster),
• You are familiar with modern data transformation tools like dbt (Data Build Tool),
• You are proficient in at least one cloud solution (GCP, AWS, Azure, or Snowflake) and its managed services (BigQuery, Redshift, S3…),
• You master the software development lifecycle (GitLab/GitHub, CI/CD, Terraform, Docker),
• Bonus: You have experience with streaming data (Kafka, Pub/Sub), generative AI frameworks (Langchain), or data visualization tools (Power BI).

Recruitment Process: First, you will talk with our Talent Acquisition Manager, who will invite you for an initial interview by phone, video call, or in person. A technical test (multiple-choice quiz and practical exercises) will be sent to you by email. You will then meet with an experienced consultant (Manager or Practice Lead), preferably in person. If necessary, informal discussions with the team can be organized so that you can get to know your future work environment at the same time.