Jobs / engineering
BI Engineer
Kyndryl · Hoofddorp
About the role
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The Role
Are you passionate about transforming complex data into meaningful business insights? Do you enjoy building scalable data models, developing efficient data transformation pipelines, and delivering enterprise-grade Business Intelligence solutions?
We are looking for a BI Engineer who combines strong analytical thinking with hands-on expertise in Power BI, PySpark, SQL, and Data Modelling. You will work closely with Data Engineers, Product Owners, Architects, and Business Stakeholders to build robust reporting solutions and enable data-driven decision making across the organization.
What you will do
• Build and maintain reusable semantic data models to support business reporting and self-service analytics.
• Develop complex PySpark transformation logic for cleansing, enriching, aggregating, and preparing large datasets for analytical consumption.
• Design and implement dimensional data models including Fact & Dimension tables, Star Schema, and Snowflake Schema.
• Collaborate with Data Engineering teams to integrate data from multiple enterprise sources into reporting layers.
• Develop optimized SQL queries, views, and stored procedures to support reporting and analytics.
• Perform data validation, reconciliation, and root cause analysis to ensure reporting accuracy and consistency.
• Optimize dashboard performance through efficient DAX measures, query optimization, and model tuning.
• Translate business requirements into technical reporting solutions and analytical models.
• Partner with Product Owners and business stakeholders to define KPIs and reporting standards.
• Promote BI best practices around governance, reusable datasets, naming conventions, and documentation.
• Support production issues, data investigations, and continuous improvements across the BI platform.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. You’ll have access to data, hands-on learning experiences, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find opportunities here that you won’t find anywhere else.
Who You Are
Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Skills and Experience
Power BI & Business Intelligence
Advanced Power BI development experience, including Power BI Service and Self-Service BI solutions
Strong expertise in DAX, Power Query (M), Semantic Models, and Shared Datasets
Experience with Row-Level Security (RLS), report performance optimization, and enterprise-scale reporting solutions
Knowledge of CI/CD practices for Power BI deployments
Data Engineering & PySpark
Strong hands-on experience developing complex PySpark transformations
Expertise in data cleansing, data enrichment, aggregations, joins, unions, pivot/unpivot operations, and window functions
Experience with incremental data processing and performance optimization
Strong knowledge of Spark SQL and large-scale data processing frameworks
Data Modeling & Data Warehousing
Solid understanding of data modeling principles, including Star Schema and Snowflake Schema design
Experience with fact and dimension modeling, dimensional modeling, and data warehouse concepts
Knowledge of Slowly Changing Dimensions (SCD) and relationship modeling
Experience designing scalable analytical data models
SQL & Database Development
Advanced SQL development skills
Expertise in query optimization, Common Table Expressions (CTEs), window functions, views, and stored procedures
Ability to develop and optimize complex analytical queries for large datasets