PowerBi Developer

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

We are seeking a highly skilled Power BI Developer with strong expertise in data modeling and hands-on Python development. The ideal candidate will design and optimize semantic data models, build analytical dashboards, and leverage Python for automation, integration, and advanced data preparation. This role requires a unique blend of BI development skills and Python programming capabilities to deliver scalable, performant, and business-ready insights.

Key Responsibilities

Data Modeling & BI Development

• Design, develop, and optimize Power BI semantic data models using star schema, snowflake schema, and best practices.
• Create relationships, hierarchies, calculated columns, and measures in Power BI to support reporting needs.
• Develop interactive dashboards and visualizations that enable decision-making and align with business requirements.
• Implement DAX measures and advanced calculations for KPIs and analytics.
• Apply row-level security (RLS) and governance controls within Power BI datasets.

• Use Python (pandas, PySpark, requests, etc.) for data extraction, cleaning, and transformation to complement Power BI datasets.
• Develop automation scripts to streamline dataset refreshes, data ingestion, or integration with APIs/cloud services.
• Support advanced data modeling workflows by creating Python-based preprocessing pipelines for large/complex datasets.
• Collaborate with data engineering teams to build and maintain Python-based ETL/ELT scripts for structured and unstructured data.

• Connect Power BI to multiple data sources (SQL Server, Azure Synapse, Databricks, ADLS, APIs, etc.).
• Ensure data quality and consistency during ingestion and transformation.
• Optimize data models and queries for scalability, performance, and cost efficiency.

• Work closely with business analysts, data engineers, and stakeholders to capture requirements.
• Translate business requirements into technical data models and BI solutions.
• Document models, datasets, and scripts for transparency and reusability.

• Collaborative Environment - Work together with skilled and dedicated colleagues who are committed to excellence.
• Opportunity to Work with Cutting-Edge Technologies - Engage with the latest and most advanced technologies, keeping you at the forefront of innovation and technical expertise.
• Work on Large-Footprint Critical Infrastructure Projects - Participate in significant and impactful infrastructure projects that challenge your skills and allow you to contribute to essential and large-scale initiatives.
• Education Programs and Certifications - Broaden and deepen your knowledge through various educational programs and certifications.
• Career Opportunities - Explore various career opportunities depending on your experience and interests.
• Open and Inclusive Culture - Thrive in an open and inclusive work environment that values diversity and collaboration.
• Social Activities - Join the Kyndryl Social Club, which regularly organizes drinks and other fun activities.
• Volunteer Opportunities - Take advantage of the "Kyndryl Cares" program, which allows you to volunteer one day a year at no cost to you.
• Flexible Working Hours and Remote Work - Enjoy the flexibility to organize your working hours and work from home.
• Necessary Work Tools - Receive the tools you need to do your job, including a mobile phone for private use and a choice of a MacBook or Lenovo laptop.
• Monthly Internet Allowance - Benefit from a monthly internet allowance to support your remote work needs.
• Pension Contributions - Automatically affiliate with the BeFrank pension fund and receive a contribution to your pension.
• Extensive Leave Arrangements - Benefit from extensive arrangements for partner leave, among other leave options.

• 8-10 years of experience as a Power BI Developer or BI Engineer.
• Strong expertise in data modeling (fact/dimension design, star schema, snowflake).
• Advanced proficiency in DAX and Power Query (M language).
• 3-4 years of experience Python programming skills (pandas, NumPy, PySpark, APIs, automation scripts).
• Experience integrating Power BI with multiple data sources (SQL, cloud storage, APIs).
• Familiarity with performance tuning for Power BI datasets and Python-based data pipelines.
• Knowledge of SQL for querying and transformations.