Data Engineer H/F - Paris

Our missions:

We work with our clients on 100% data missions that combine technical and strategic dimensions, where data is the driver of operational performance. As a Data Engineer, you are the architect who makes data usable. Depending on your profile, you will be involved in building robust data platforms (Data Lakehouse) or in industrializing complex flows for AI.

Our clients (Luxury, Retail, Telecom, Banking...) are facing an explosion in data volumes and sources. Your role will be to ensure the fluidity, quality, and security of these flows.

Some examples of current projects:

• Migration from a legacy on-premise system to a Cloud Lakehouse architecture (Snowflake/Databricks). #CloudMigration

• Industrialization of complex pipelines on GCP (BigQuery, Dataform) with a strong culture of observability (Dynatrace) and CI/CD. #Orchestration

• Deployment of AI applications, APIs, and services (ML prediction algorithms, conversational agents, etc.) #MLOps

• Audit and redesign of ingestion pipelines to reduce compute and storage costs on GCP or AWS. #Performance

• Development of Kafka components, exposure via API, and ensuring real-time flow performance on an international scale. #Streaming

The Human Aspect:

We are looking for talents:

• With excellent interpersonal skills to bridge the gap between business needs and IT constraints,

• With the desire to build scalable and robust infrastructures,

• Equipped with a rigorous analytical mindset,

• Who attach paramount importance to code quality (CI/CD, unit tests) and technical documentation (Confluence/Jira),

• Curious about new trends (DataOps, generative AI applied to code),

• Sensitive to CSR (Corporate Social Responsibility) challenges to integrate sustainable digital practices,

• With the desire to share and learn within an active technical community,

• Maîtrising professional English to work in international contexts,

• Possessing a minimum of four years of experience in data engineering.
  

Technical Skills:

You have a degree in data from a university or a business school and:

• Perfectly master Python and SQL (analytical and procedural),

• Have solid experience with a workflow orchestrator (Airflow, Prefect, or Dagster),

• Know modern transformation tools like dbt (Data Build Tool),

• Master at least one Cloud solution (GCP, AWS, Azure, or Snowflake) and its managed services (BigQuery, Redshift, S3...),

• Master the software development lifecycle (GitLab/GitHub, CI/CD, Terraform, Docker),

• Bonus: you have experience with streaming flows (Kafka, Pub/Sub), generative AI frameworks (Langchain), or DataViz tools (Power BI).

The Recruitment Process

• You will first speak with our Talent Acquisition Leader who will invite you for an initial interview by phone, video call, or in person.

• A technical test (multiple choice questions and practical case studies) will be sent to you by email.

• You will then meet a senior consultant (manager or practice leader), ideally in person.

Informal discussions with the team may be organized as needed so that you can discover your future work environment in parallel.

Find more English Speaking Jobs in France on Arbeitnow