almost 4 years ago
Nantes, FranceSenior
Responsibilities
- Architect robust data pipelines with Python, SQL, dbt, and Airflow.
- Build cloud-native Data and AI platforms on Google Cloud.
- Develop real-time pipelines for critical business activities.
- Industrialize MLOps and LLMOps architectures.
- Design RAG systems connected to business data.
- Integrate generative AI into analytics and data engineering workflows.
- Address data quality, governance, observability, orchestration, and cost optimization.
- Transform complex datasets into usable data platforms and participate in projects combining data, AI, cloud, and software engineering.
Requirements
- Experience or strong capability in data engineering and data platform architecture is expected, particularly with Python, SQL, dbt, and Airflow.
- Familiarity with BigQuery, Snowflake, Databricks, Kafka, MLOps tools, and cloud technologies is sought.
- Interest in understanding systems deeply and experimenting with generative AI, LLMs, RAG, and AI agents is expected.
- The role requires participation in technical pair-programming interviews and collaboration with recruitment, business, and management teams.
Benefits
- Technical management, an active Data, AI, and Cloud community, and regular meetups, labs, talks, and internal training.
- Access to SFEIR Institute and Google Cloud and AWS certifications.
- Multiple career paths including IC, Staff Engineer, Engineering Manager, Trainer, and Speaker.
- Strong culture of engineering craft, architecture, knowledge sharing, and access to the internal RAISE multi-LLM GenAI platform.
- Position based in Nantes with 2 to 3 days of remote work per week.
Tech Stack
Apache AirflowApache KafkaAWSDatabricksdbtDockerGoogle BigQueryGoogle CloudKubernetesPythonSnowflakeSQL
Categories
Data Engineering
About SFEIR
SFEIR provides software engineering and IT consulting, building custom web, mobile, cloud, data, and IoT solutions for enterprises and scale-ups. It operates as a services firm delivering development, DevOps, and machine learning expertise along with platform modernization projects. Founded in 1985 and headquartered in Neuilly-sur-Seine, France, it is privately held and owned by UI Investissement.