[Interim] Senior Analytics Engineer (PowerBI)
[Interim] Senior Analytics Engineer (PowerBI)
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Job Description
Job description
Job Title: Senior Analytics Engineer
Location: Leiden Netherlands (Hybrid: 2 days on-site 3 remote)
Engagement: Full-time 5 days a week
Contract duration: 4 to 6 months extension
Start date: ASAP
Were looking for a highly skilled Senior Analytics Engineer to join one of our client projects and play a key role in designing and delivering scalable analytics solutions. Youll work at the intersection of data engineering and business intelligencedriving insight by transforming data into accessible high-impact Power BI dashboards. This role is ideal for someone with deep hands-on Power BI expertise capable of partnering closely with business stakeholders to deliver user-centric trusted analytics products that tell a clear data story.
What youll do
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.
Job requirements
What you bring
Bachelors 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 conceptsGit CI/CD pipelines
If youre ready to make an impact through data and thrive in a fast-paced collaborative setting wed love to hear from you. Apply now!
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Required Experience:
Senior IC
Employment Type
Contract
