This is one of 3 open positions they have in the team.
As this is a Senior position, they are only willing to consider individuals who have professional experience as a DataEngineer.
Responsibilities:
Designing and implementing batch and real-time data ingestion and processing pipelines for Azure Data Lake/Synapse or similar cloud-based (AWS) data warehouse or data lake solutions Implementing data quality checks and log pipeline outcomes Work with parameters stored in metadata tables Implementing data lineage, aggregation, and reconciliation mechanisms (including monitoring dashboards and alerts) Implementing data cataloging, archiving, and disaster recovery Work with data source and data consumption teams to align on data structures, security, and schemas Requirements:
Familiarity with modern, cloud-based data/BI technologies (data lakes, data warehouses, ETL/ELT, Spark) Experience with implementing data ingestion pipelines / ETLs / ELTs General knowledge of Azure or comparable platform and ecosystem Storage Account, CosmosDB (SQL & Gremlin API), Event Hub, App Services Experience with SQL, Python Its advantageous if you have experience with at least 3 of the following Azure data technologies or similar Cloud technologies:
Azure SQL Azure Data Lake Azure Databricks (SQL or Python, Delta Lake) Azure Data Factory or Synapse Azure Analysis Services Nice-to-Have:
Bachelor or higher degree in Informatics, Business Engineering, Computer or related technical discipline 1-3 years of field experience in a similar role Fluency in Dutch and English.
This company offers a comprehensive list of benefits, including 13.92 monthly salary payments, meal vouchers, group insurance (pension, etc.), medical insurance, company car, and more.
How to Apply:
Interviews are taking place from Monday 12th February. Orbis
