Data Engineer (English speaking)
IT-idiots
Data Engineer (English speaking)
Samenvatting
Wat krijg je?
Wat ga je doen?
- Complexe business requirements vertalen naar schaalbare dataworkflows en systeemontwerpen
- Azure DevOps-repositories configureren en onderhouden voor versiebeheer en CI/CD
- Databricks-workspaces, dependencies en connecties beheren
- PySpark/.NET-datapijplijnen ontwikkelen, documenteren en testen volgens best practices
- Samenwerken met analytics-, BI- en business-teams om datamodellen te verfijnen
Wat verwachten wij?
- Bachelor’s degree in Computer Science, Engineering or similar
- Minimaal 5 jaar ervaring met datamodellering en pipelines
- Expertise in Python PySpark en objectgeoriënteerd .NET
- Aantoonbare ervaring met Databricks en Azure Data Platform
Volledige vacaturetekst
Werken als Data Engineer in Amsterdam bij een internationaal team dat cloudoplossingen bouwt voor responsible investment en trading. Je ontwerpt en optimaliseert data pipelines in Azure en Databricks, schakelt met analytics en business en werkt in een hoogpresterend agile team met veel invloed op het eindresultaat. Lees snel verder en ontdek de hele rol.
Location: Amsterdam, Netherlands (candidates must reside in the Netherlands) Hours: 32-40 per week Start: In consultation Contract: Payroll (no self-employed contractors)
Role overview We’re seeking a seasoned Data Engineer to join an international team delivering cloud-based solutions for responsible investment and trading platforms. You’ll architect, build and optimize end-to-end data pipelines that power analytics, research and front-office decision-making.
Key responsibilities
Translate complex business requirements into scalable data workflows and system designs
Configure and maintain Azure DevOps repositories for version control and CI/CD
Manage Databricks workspaces, dependencies and connections
Develop, document and test PySpark/.NET data pipelines adhering to best practices
Collaborate with analytics, BI and business teams to refine data models
Validate and challenge pipeline and application designs for performance and reliability
Support system, integration and end-user testing, as well as smooth deployments
Share knowledge and mentor junior engineers within an agile, multidisciplinary squad
Required qualifications
Bachelor’s degree in Computer Science, Engineering or a related field
Minimum 5 years’ hands-on experience in data modeling, querying and pipeline development
Expert in Python (PySpark) and strong familiarity with object-oriented programming (.NET)
Proven experience with Databricks and Azure Data Platform
Comfortable working with complex financial or trading datasets
Solid understanding of DevOps principles and version-control workflows
Highly developed communication skills in English
Self-motivated, well-organized team player
Payroll (no self-employed contractors)
Nice-to-haves
Experience setting up and maintaining SQL databases
Web development background (JavaScript, TypeScript, frameworks)
Prior work in Agile/Scrum environments
Coaching or mentoring experience with junior developers
Why you’ll love this role You’ll work in a high-performing, T-shaped agile team that owns delivery from design through production. You’ll bridge business and technology, directly influencing investment strategies and impact. A competitive rate will be offered based on your expertise.
Apply now with your CV !
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