5 months ago
Niort, FranceSenior
Responsibilities
- Architect robust data pipelines with Python, SQL, dbt, and Airflow.
- Build scalable batch and real-time data platforms on Google Cloud.
- Work with BigQuery, Snowflake, Databricks, Kafka, and MLOps tools.
- Address data quality, governance, observability, orchestration, and cost optimization.
- Transform complex datasets into usable data products.
- Industrialize Data and AI use cases, including MLOps, LLMOps, RAG systems, and generative AI workflows.
- Help establish SFEIR’s new Niort agency and contribute to its local technical community.
Requirements
- Experience or strong capability in data engineering and data platform development.
- Ability to understand and build robust, performant, and scalable data systems.
- Knowledge of Python, SQL, dbt, Airflow, and cloud data technologies.
- Interest in applying generative AI and LLM tools to data engineering.
- Willingness to participate in technical knowledge sharing, architecture, and engineering craftsmanship.
Benefits
- Hybrid work arrangement with approximately two to three remote days per week depending on the client context.
- Training and certifications in Google Cloud, Kubernetes, and Cloud Native technologies.
- Access to SFEIR’s internal multi-LLM GenAI platform, RAISE.
- Regular exchanges with an Engineering Manager and access to an active Data, AI, and Cloud community.
- Internal talks, meetups, labs, and training throughout the year.
- Opportunities to progress toward Lead Data Engineer, Staff Engineer, Data or AI specialist, speaker, trainer, or evaluator roles.
- Location: Niort, with work split between in-person and remote arrangements.
Tech Stack
Apache AirflowApache KafkaDatabricksdbtDockerGoogle 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.