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Looker BI Engineer (SQL, GCP, Data Modelling, CI/CD) – Freelance/Permanent – Amsterdam (Hybrid)

πŸ“ Location: Amsterdam

πŸ“… Start Date: 15 July 2025

πŸ•’ Duration: 12+ months

πŸ“ˆ Workload: 36 hours/week

πŸ’Ό Type: Freelance (no ZZP) or Payroll construction

πŸ’¬ Language: English (Advanced required)

🌐 Remote: Hybrid setup – collaboration with teams across Amsterdam, Bucharest, and Warsaw


About the Role

For our leading financial services client in Amsterdam, we’re looking for a Looker BI Engineer to join the DARE (Data, Analysis and Reporting Environment) team. This initiative is building a global, cloud-native analytics platform on Google Cloud Platform (GCP) that supports real-time and batch risk calculations, derivatives pricing, XVA, PFE, VaR, and more.

You will be the go-to expert in Looker – building LookML models, dashboards, and data visualizations to empower critical financial decisions in risk management and front office trading environments.


Your Responsibilities

  • Develop and maintain Looker dashboards, Explores, and LookML models.
  • Translate business requirements into scalable, performant BI solutions.
  • Optimize LookML and BigQuery for cost-efficiency and speed.
  • Collaborate with data engineering teams for seamless Looker integration.
  • Implement governance, access control, and data lineage within Looker.
  • Enable adoption of Looker via documentation, training, and internal support.
  • Contribute to BI architecture and best practices for the DARE platform.
  • Maintain high standards of data quality, security, and performance.


Required Skills & Experience

Must-Have:

  • 5+ years in BI development, including 2+ years with Looker/LookML.
  • Excellent SQL and experience with relational/cloud databases (BigQuery preferred).
  • Solid grasp of the GCP ecosystem (CloudRun, GCS, Pub/Sub, etc.).
  • Strong understanding of data modelling, ELT/ETL pipelines, and visualization.
  • Experience with CI/CD, Git, and documentation workflows.
  • Strong communication and cross-functional collaboration skills.

Nice-to-Have:

  • Experience with dbt, Terraform, and data testing tools.
  • Financial services knowledge: risk metrics, derivatives pricing.
  • Data governance, metadata management experience.

Education & Language

  • Bachelor's or Master's in Computer Science, Software Engineering, or similar.
  • Fluency in English is required.


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