Senior Analytics Engineer

Summary

Join our team as a Senior Analytics Engineer in Leiden, Netherlands for a 4-6 month contract (with potential extension) working in a hybrid model (2 days on-site, 3 days remote). You will be instrumental in designing and delivering scalable analytics solutions, bridging data engineering and business intelligence. Leveraging your Power BI expertise, you will collaborate with stakeholders to create user-centric dashboards and data products. This role demands strong technical skills and excellent communication to translate complex data into clear, impactful narratives. The ideal candidate possesses extensive experience in data engineering, Power BI, and data modeling, along with a proven ability to work collaboratively and deliver high-quality results.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 7+ years in data engineering or analytics engineering , including significant hands-on BI experience and dashboarding work with business users ( Power BI , semantic models, reports, Fabric)
• Deep expertise in Data (Lakehouse, data marts, warehouses) with strong SQL and Python skills
• Proven track record designing and maintaining DBT-based transformation layers and modular, production-grade code
• Solid understanding of dimensional, lake-house, and data-vault modelling techniques and performance optimisation
• Demonstrated ability to turn ambiguous business questions into data products through iterative collaboration and storytelling with data
• Excellent written and verbal communication; able to bridge the gap between technical and non-technical audiences
• Familiarity with DevOps concepts—Git, CI/CD pipelines

Responsibilities

• Engage & discover – meet with business stakeholders to capture analytic requirements (functional, data, and non-functional requirements), define success criteria, and translate questions into technical topics for the team to collaborate on the solution design
• Inspire and storytelling - create wireframes, mock-ups, and visuals to show the art of the possible to stakeholders to validate or gather feedback
• Co-develop dashboards – partner with users to create and iterate on Power BI reports & models; run feedback sessions, measure adoption, and refine until the story is clear
• Model for insight – design data models, lake-house tables, and semantic layers that keep data fast, trusted, and easy to explore and document for Data catalog & Data architects
• Contribute to the ETL life-cycle – build, schedule, transformation pipelines in Azure Databricks / Spark, using DBT (SQL and Python)
• Experienced with DataOps/DevOps best practice – code versioning of ETL pipelines and Power BI (reports / projects), and implement CI/CD, automated testing, and monitoring
• Collaborate on strategy – work together with the Data & Analytics team to align technical choices with the wider data-platform roadmap