BrightStone Group
Savvy Data Professional ( €7500 - € 8.500)
BrightStone GroupNetherlands3 hours ago
Full-timeRemote FriendlyInformation Technology

Assignment: Analytics Engineer – Pay Transparency Directive

Location: Netherlands (must reside in NL and hold a valid work permit)

Duration: Until end of July 2026

Hours: 36 hours per week

Contract type: Temporary Assignment


About the Role

Are you a business-savvy data professional who thrives on turning complex data into actionable insights that drive real business decisions? As an Analytics Engineer, you will be the bridge between data engineering and data analytics/data science, playing a key role in implementing the Pay Transparency Directive.

You will design and implement scalable, reliable data solutions that enable HR and business teams to make informed decisions quickly. This is a high-impact role where you will collaborate across diverse teams and deliver tangible results.


What You Will Do

  • Design and build data transformations and models for analytical purposes.
  • Apply best practices in data modelling, analytics engineering, and data governance.
  • Develop dashboards and reporting solutions in Power BI, including quick MVPs for fast business value.
  • Act as the link between business stakeholders and IT teams, translating business needs into technical solutions.
  • Document and present development progress to stakeholders.
  • Support predictive analytics and machine learning initiatives where needed.


What We’re Looking For

Must-haves:

  • Minimum 5 years of experience in data engineering, data modelling, and analytics engineering.
  • Strong skills in SQL, Python, PySpark, and ETL/ELT processes.
  • Hands-on experience with Power BI (backend and front-end).
  • Familiarity with statistics and data science concepts.
  • Experience with Databricks or similar platforms.
  • Excellent communication skills.
  • Certifications:
  • Microsoft Power BI Data Analyst (PL-300)
  • Databricks Certified Data Analyst Associate (or willingness to obtain within one month).


Nice-to-haves:

  • Experience with the Pay Transparency Directive.
  • Knowledge of Machine Learning Engineering.
  • Background in HR analytics or financial domains.
  • Experience in data governance and compliance frameworks.


What We Offer

  • A role with significant impact on a socially relevant initiative.
  • Hybrid working environment (2 days per week in the office).
  • Access to cutting-edge tools and technologies.
  • Collaboration with a dynamic, diverse team.


Plain Explanation of the Role

This assignment is about building smart data solutions so HR and management can make better decisions about pay transparency. You’ll transform raw data into clear dashboards and reports, using tools like SQL, Python, and Power BI. You need strong technical skills but also the ability to understand business needs and communicate effectively.

Key Skills

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