Data Engineer (F/H/NB)

Worldwide | Oct. 8, 2026

Report as Closed

Company: SFEIR

Country: Worldwide

Type: Onsite

Employment: CDI

Description:

SFEIR is a technological expertise firm specializing in the design, architecture and industrialization of tailor-made digital solutions. We support organizations in their most complex transformations by combining the rigor of Software Craftsmanship with the mastery of future technologies. Convinced that digital sovereignty is a major strategic issue, we design secure, efficient and independent architectures, supported by solid partnerships with key players such as SENS and Scaleway. A leading player in artificial intelligence, we are developing modern engineering standards. Through our GenAI RAISE platform and our status as an Anthropic Select partner (within the Claude Partner Network), we place Context Engineering and generative AI at the heart of our practices. 

Our key figures:

  • 950 consultants passionate about tech and augmented by AI
  • 8 agencies in France, Luxembourg and Belgium
  • Anthropic Select Partner within the Claude Partner Network
  • 15 years of partnership with Google Cloud, AWS, Microsoft, Databricks, Confluent...
  • +5,000 people trained per year via the SFEIR Institute

Joining SFEIR means joining a collective where technical culture prevails. We offer career paths dedicated to experts (Individual Contributor / IC), allowing you to progress in high technical mastery without having to switch to organizational management. We integrate AI into our own engineering practices (daily use of RAISE and Claude Code) to automate repetitive tasks and focus our efforts on designing resilient architectures.

▪️ About the mission

To support the strong growth of our South-West collective, we are looking for our futureConfirmed Data Engineer (F/M/NB). At the heart of our most ambitious client projects, your main objective will be to give value to data and imagine cutting-edge architectures, ready for AI (AI-Ready).

On a daily basis, you will be the technical driving force behind data structuring for our clients:

  • Architecting robust data pipelines with Python, SQL, dbt and Airflow
  • Work with BigQuery, Snowflake, Databricks, Kafka or MLOps tools
  • Thinking about Data Quality, governance, observability and cost optimization
  • Building reliable and scalable data platforms
  • Participate in the industrialization of AI uses
  • Transform complex datasets into actionable data products
  • Experimenting with new uses of AI applied to Data

▪️ The ideal profile

  • Training & Career: Holder of a Bac+5 in computer science (Master, engineering school) or an equivalent course with solid experience acquired in the field.
  • Apply here:

    Web: Apply here

    Emails:



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