Analytics Engineer

Enza Zaden Beheer B.V

Enkhuizen, Netherlands
**
Design, build, and maintain data models
Advanced data models and analytics products
Databricks, dbt, power bi
** Enza Zaden Beheer B.V is seeking a Senior Analytics Engineer to design, build, and maintain high-quality data models and analytics products that support self-service business intelligence and data-driven decision-making. The ideal candidate should have significant experience in analytics, strong technical skills in relevant tools, and the ability to collaborate effectively with various stakeholders. **

Job Summary

  • As a Senior Analytics Engineer, you design, build and maintain high quality data models and analytics products that enable self-service BI and data driven decision making across Enza Zaden worldwide.
  • You report to the Analytics & Reporting Manager and are part of the Data Analytics & Reporting (DAR) team.
  • We offer flexible work arrangements, 25 paid vacation days, 1 paid vitality day for all, plus extra days as your age increases, contribution for overnight stays if you live further away from Enza Zaden, and a laptop + smartphone.

Matching Summary

Match Score: 75

** Enza Zaden Beheer B.V is seeking a Senior Analytics Engineer to design, build, and maintain high-quality data models and analytics products that support self-service business intelligence and data-driven decision-making. The ideal candidate should have significant experience in analytics, strong technical skills in relevant tools, and the ability to collaborate effectively with various stakeholders. **

Skills & Requirements

Must-have

  • design, build, and maintain data models
  • advanced data models and analytics products
  • Databricks, dbt, Power BI
  • complex analytics and reporting initiatives
  • sound, scalable, well-governed solutions
  • data quality, reliability, performance, cost efficiency
  • architecture, security, access management standards
  • user enablement, training, knowledge sharing
  • 6-8 years of relevant experience
  • analytics and reporting methods
  • data modelling and data transformations
  • Azure (DP203), Databricks, SQL, dbt, Power BI, DAX, Git
  • DevOps practices
  • align, influence, and persuade stakeholders
  • scalability, architecture principles
  • natural leadership and coaching skills

Nice-to-have

  • self-service BI
  • data driven decision making
  • global scope
  • high level of autonomy
  • international, collaborative working environment
  • team focused mindset
  • move the organization forward in its data maturity

Key Requirements

  • University working and thinking level (WO / Master)
  • 6-8 years of relevant experience
  • Azure (DP203) certification is a plus

Work Rights

Not specified

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