TL;DR
Data Engineer (Financial Services): Building and scaling a modern data lake and reliable data infrastructure with an accent on creating clean, accessible datasets and automated pipelines. Focus on designing data models, implementing CI/CD for data jobs, and translating stakeholder data needs into technical solutions.
Location: Onsite in Amsterdam, North Holland
Salary: Negotiable EUR / Year
Company
hirify.global is a recruitment firm providing professional solutions and connecting skilled professionals with projects since 2000.
What you will do
- Build and maintain scalable ETL pipelines (batch and/or streaming).
- Design data models (star schema, SCD) for analytics use cases.
- Implement CI/CD for data jobs using GitHub Actions.
- Apply data quality checks and basic monitoring.
- Translate stakeholder data needs into technical solutions.
Requirements
- 3+ years building and maintaining data pipelines.
- Strong Python and SQL skills.
- Experience with GitHub and CI/CD workflows.
- Experience with AWS, Azure, or Databricks.
- Solid understanding of ETL, data modeling, and OLAP concepts.
Nice to have
- Experience with AWS services (Glue, Athena, DynamoDB).
- Experience with PySpark.
- Infrastructure as Code, modern table formats (Iceberg/Delta/Hudi), or distributed data processing.
Culture & Benefits
- Focus on long-term projects.
- Access to an international and local network of skilled professionals.
- Company values connecting skills with projects.
- Emphasis on how people are seen and treated.
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