About us
act digital is an international consulting and engineering group that supports its clients in their digital transformation projects.
Present in 12 countries and with more than 6,000 employees, we leverage our expertise to address their challenges in software development, cybersecurity, data, cloud, and AI.
Our ambition: to become the trusted technology partner of the most innovative companies, by designing and securing systems that enhance their performance and resilience.
Joining act digital means becoming part of an agile and committed organization that works closely with its clients to turn ideas into concrete results, with pragmatism and high standards.
Job 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
Required qualifications
What profile are we looking for this position:
Must-have skills :
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.
