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# Data engineer

- **Company:** Act Digital France
- **Location:** Brussel, Belgium
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Vault Modeling, Dimensional Modeling, Identity and Access Management, JSON, Scrum Methodology, Parquet, Data Processing, Data Ingestion, Sql Optimization, Snowflake, Git, Data Lakes, Pyspark, Data Lineage, Qlikview, Apache Kafka, Data Pipelines
- **Published:** July 28, 2026
- **Apply:** https://www.adzuna.be/details/5817724551

## About the Role

Hands-on, proven experience with ("the basics"):

 - Advanced SQL
 - Data modelling, dimensional modelling, Data Vault modelling (strong experience required)
 - Building data pipelines with DBT & PySpark
 - Snowflake
 - Airflow
 - JSON, Parquet
 - Data processing in an AWS cloud environment: AWS services (S3, Glue, Athena, AppFlow, DMS, …) & IAM
 - Agile delivery, CI/CD, Git

Experience with, notions of or profound interest in ("nice to have"):

 - Qlik
 - Data ingestion (e.g. CDC, API, ...)
 - Apache Kafka
 - Apache Iceberg
 - Event-based data processing
 - Data product architectures
 - Data quality metrics
 - Data catalogue, data lineage tooling (e.g. DataHub)

Fluent in English (verbal and in writing), Dutch or French optional.

## Description

You will join our team of experts in data engineering. The data engineer works mainly on the engineering of (batch or near-realtime) end-to-end data pipelines on our cloud-based data platform (AWS), processing data in(to) the data lake and or warehouse (Snowflake).
Data is processed to build domain-oriented data products for AI/ML, BI and data integration use cases.
You'll be part of agile, business-oriented scrum teams delivering tangible business value while respecting architectural and engineering best practices.

Your responsibilities will include:

 - Build and maintain robust data pipelines that integrate multiple data sources.
 - Embed Data Governance by design to ensure data quality, consistency and compliance
 - Align with our data architectural principles and contribute to the implementation of our Data Product architecture.
 - Collaborate with business oriented and cross-functional teams and focus on delivering new data products in scope of different use cases/projects in line with Business priorities
 - Contribute to the implementation of our Data landscape and Data Product architecture

Profile / Requirements :
What profile are we looking for this position


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