remote
Data Engineer - Ageas
Data Engineer
Data Engineer role focused on designing and building modern data pipelines and AI/ML services using Python, PySpark, SQL, and cloud data platforms such as Databricks or Snowflake.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes using PySpark and Python.
- Collaborate with data scientists, analysts, and architects to deliver AI and machine‑learning services that drive business insights.
- Implement and optimise data models and queries in SQL on cloud data warehouses like Databricks or Snowflake.
- Ensure data quality, governance, and security across the end‑to‑end data lifecycle.
- Participate in code reviews, performance tuning, and continuous integration/continuous deployment (CI/CD) practices.
Requirements
- Strong experience with Python and PySpark for large‑scale data processing.
- Proficiency in SQL and hands‑on experience with Databricks or Snowflake environments.
- Understanding of machine‑learning concepts and ability to support AI‑driven analytics.
- Solid grasp of data engineering best practices, including data modelling, version control, and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work collaboratively in a cross‑functional team.
Skills
pythonsqldatabrickssnowflakemachine learning