- Bachelor or Master Degree in Computer Science or related
- >2 Years of Experience in working as a Data Engineer or related
- Knowledge of
- SQL
- Programming experience: Python and some of Java, Scala, R
- Data Warehouses, Data Lakes, Lakehouse
- Big Data Technologies: Experience with Databricks and/or Microsoft Fabric (and/or some of Hadoop, Spark)
- Cloud Services: Familiarity with cloud storage, database, and computing services, ideally in Microsoft Azure
- Data Pipelines/Management/Ingestion: Automation of data movement, transformation, quality and integrity verification, monitoring; ETL/ELT
- Optionally: Experience with Data Streaming / Spark Streaming / Kafka
- Optionally: Lakehouse Architectures, Database design
- Optionally: Data Cataloging, Data Governance
- Ability to work independently without constant supervision; Proficient in solving problems and preparing decisions independently.
Top Skills
What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.
Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide.
Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
