Data Engineer

Main mission

Designs and maintains data pipelines that feed analyses and models.

5 key responsibilities

• Build data ingestion, transformation, and quality pipelines.
• Model data for analytical and AI use.
• Ensure data freshness, traceability, and compliance.
• Optimize costs and performance of data infrastructures.
• Collaborate with ML teams to serve data in the right format.

Key skills

Apache Spark, dbt, Airflow, Snowflake, BigQuery, Kafka, Databricks.

What's expected

Reliable, available, and documented data. Without solid data engineering, no AI project holds. One of the most consistently sought profiles.

Career paths

Data Architect, Head of Data, AI Solutions Architect.