Senior Power BI Engineer

Reposted 3 Days Ago
Be an Early Applicant
2 Locations
Remote or Hybrid
Senior level
Information Technology • Consulting
Envision. Build. Operate.
The Role
Design and implement scalable Power BI solutions, optimize data models, maintain ADF pipelines, and ensure data quality and governance in a collaborative environment.
Summary Generated by Built In

We are the Microsoft Data Platform Competence Center – leading experts in Microsoft data technologies. Our team has hands-on experience with the full spectrum of modern data solutions including Azure Data Factory, Synapse Analytics, Microsoft Fabric, Power BI, Purview, Azure SQL Database, Databricks, Palantir, and more.
We constantly learn, experiment, and refine our engineering practices, implementing new innovations across the data ecosystem. People are at the core of our success – that’s why we offer our data engineers up to one month per year dedicated purely to learning and professional growth.

Our team has grown to 40 specialists operating in both the Czech Republic and Switzerland.


What you will do as a Senior Power BI Engineer

  • Design, develop, and deliver scalable, high-performance Power BI datasets and reports, leveraging Databricks (Gold layer) and SQL-based metadata.

  • Work closely with business stakeholders to translate complex requirements into efficient and maintainable Power BI solutions.

  • Optimize large-scale data models and refresh pipelines using incremental refresh, partitioning, and query folding.

  • Maintain and enhance ADF pipelines, Azure Functions, and YAML-based CI/CD processes in Azure DevOps to support automated testing and deployment workflows.

  • Ensure data quality, security (including RLS), and governance across the Power BI ecosystem.

  • Collaborate in a cross-functional environment and support teammates in solving analytical and technical challenges.


What we expect

  • 5+ years of professional experience in Power BI development (data modeling, DAX, performance optimization, visualization).

  • Strong hands-on experience with Azure Data Factory, Azure Functions, and Azure DevOps (YAML pipelines).

  • Excellent SQL skills and understanding of metadata-driven modeling.

  • Ability to work closely with both business and technical stakeholders, shaping requirements and solution design.

  • Experience with Databricks and PySpark is a major advantage and will help integrate reporting with upstream data transformations.

  • You care about the team — collaboration and knowledge sharing are key values for us.

  • You can communicate in English on projects (or improve with our language courses).

  • You have a strong drive to learn and grow. Everyone receives up to 30 learning days per year.

  • A proactive mindset, excellent communication skills, and a passion for building high-quality data solutions.

What we offer you

  • Budget for personal development (courses, conferences, certifications)

  • Opportunity to work remotely on international projects

  • Work from the comfort of your home or from our new design office

  • We value our time – no overtime

  • Access to our company library for inspiration

  • Attractive mobile plan, Multisport card, and fuel card

  • Barbecues on the terrace and plenty of other team events

Skills Required

  • 5+ years of professional experience in Power BI development
  • Strong hands-on experience with Azure Data Factory, Azure Functions, and Azure DevOps
  • Excellent SQL skills and understanding of metadata-driven modeling
  • Experience with Databricks and PySpark
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The Company
HQ: Praha, Hlavní město Praha
45 Employees
Year Founded: 2013

What We Do

For over 10 years, Joyful Craftsmen has been a trusted partner globally, empowering organizations to unlock the full potential of their data. Known for our technological expertise, while primarily serving clients across Europe, we are equipped to collaborate with companies worldwide through remote solutions, helping businesses turn data into a strategic asset. We specialize in delivering tailored solutions in the following areas: ➜Data & AI Strategy: Aligning data initiatives with your business objectives. ➜Artificial Intelligence: Providing predictive and prescriptive insights to drive innovation. ➜Business Intelligence: Offering dynamic, real-time tools for effective decision-making. ➜Data Platform: Building robust and scalable data infrastructures. ➜Data Governance & Management: Ensuring high-quality, compliant, and secure data practices. ➜Data Security: Protecting your data with top-tier security solutions.

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