Data Migration Engineer (Dutch required)
Groningen
Netherlands
€70/hour
Contract
Data Engineering and Streaming
Role
As a Data Engineer, you’ll lead migration projects, building solutions from the design phase through to implementation. You’ll work closely with the team to analyze, build, and test functionalities.
What You Bring
- Experience with data migration
- Strong communication skills for working with developers and designers
- Experience with SQL, preferably Microsoft SQL Server and SSIS
- Background in financial services is a strong advantage
- Proficiency in Dutch (required)
Location: Hybrid/Groningen
Apply now! Chat first? Call Eszter Hlavati at 020 305 0083 or e-mail me at eszter.hlavati@darwinrecruitment.com to learn more about this exciting opportunity.
Darwin Recruitment is acting as an Employment Business in relation to this vacancy.
Eszter Hlavati
Submit Your CV
Similar Jobs
Permanent
Data Engineer – Dutch speakingTechnology
Data Engineering and Streaming
Ik ben op zoek naar een zelfstarter Data Engineer om de datastrategie vorm te geven en het bedrijf te ondersteunen bij het nemen van See more…
to €75,000/year
Breda
Netherlands
1
Contract
DevOps Engineer (Kafka)Technology
Data Engineering and Streaming
As a Freelance DevOps Engineer specializing in Kafka, you will play a critical role in ensuring the reliability and scalability of data transport infrastructure. See more…
to €700/day
Berlin
Germany
Permanent
Senior Analytics EngineerTechnology
Data Engineering and Streaming
Job Title: Senior Analytics Engineer Please note: We only consider Dutch-speaking candidates who are currently residing in the Netherlands. Would you like to play See more…
to €85,000/year
Netherlands
Salary Benchmarks and
Market Insights
Are you looking for a new role? Would you like to compare your current salary
against the market rate?
Maybe you're looking to grow your team and need help planning and setting
hiring budgets.
Our interactive market update, split by industry, has all the information you need; from salary
benchmarks, gender split and average tenure to 'time to hire' and fastest-growing skills.
