9 months ago
Wasquehal, FranceSenior
Responsibilities
- Design and industrialize robust ETL/ELT, batch, and streaming data pipelines.
- Orchestrate data flows with Airflow, dbt, Luigi, or equivalent tools in cloud environments, primarily GCP.
- Model and optimize databases for concrete business use cases.
- Manage the full data engineering lifecycle, including ingestion, transformation, modeling, and production deployment.
- Contribute to data quality through testing, monitoring, and documentation.
- Help structure Atecna’s Data community by sharing practices, defining standards, supporting skill development, and mentoring colleagues.
- Work on client assignments while contributing to the growth of Atecna’s internal Data expertise.
Requirements
- At least five years of data engineering experience in demanding, high-volume environments.
- Strong proficiency in Python and cloud ecosystems, ideally GCP.
- Experience orchestrating and managing data flows with Airflow, dbt, Luigi, or equivalent tools.
- Comfortable across ingestion, transformation, modeling, and production deployment.
- Product-oriented approach with the ability to understand business needs before implementing solutions.
- Sensitivity to data quality, including testing, monitoring, and documentation.
- Interest in knowledge sharing and helping others grow.
- Experience building a data platform from scratch is a plus.
Benefits
- Employee profit-sharing contribution distributed equally among employees.
- Meal card, vacation bonus, sustainable mobility bonus, time savings account, health insurance, and seven additional vacation days.
- Two remote-work days per week and flexible working hours.
- Agency events including afterworks, meetups, and collective activities.
- Professional development through conferences, workshops, and projects.
- Permanent employee position with a four-stage recruitment process: talent acquisition discussion, meeting with the Data leader, technical interview, and offer.
Tech Stack
Categories
Data Engineering
