BI Engineer

Reposted Yesterday
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Hoofddorp, NLD
In-Office
Senior level
Cloud • Information Technology • Consulting
The Role
Develop enterprise Power BI dashboards, semantic models, and reporting solutions. Build PySpark data transformation pipelines, dimensional data models, and optimized SQL queries for large datasets. Validate data, improve dashboard performance, define KPIs, support BI governance, investigate production issues, and collaborate with data engineers, architects, product owners, and business stakeholders.
Summary Generated by Built In

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.

Key Responsibilities
• Design and develop scalable Power BI dashboards and enterprise reporting solutions.
• 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
     

Preferred Skills

  • Azure Databricks

  • Delta Lake

  • Microsoft Fabric

  • Azure Data Factory

  • Azure Synapse Analytics

  • Snowflake

  • Git version control

  • Azure DevOps

  • Experience implementing CI/CD pipelines for data and BI solutions

Experience Required
• 5+ years of experience in Business Intelligence, Analytics, or Data Engineering.
• Proven experience developing enterprise Power BI solutions.
• Strong experience writing PySpark transformation logic for large datasets.
• Experience designing dimensional data models for enterprise reporting.
• Strong SQL development skills.
• Experience working with Agile delivery teams.

Nice to Have
• Experience in Banking, Insurance, Retail, or Financial Services.
• Exposure to enterprise data platforms and Lakehouse architecture.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Experience mentoring junior BI developers.


Being You

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.

What You Can Expect

Your career with us isn’t just a job—it’s an adventure with purpose.  We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.
From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Skills Required

  • 5+ years of experience in Business Intelligence, Analytics, or Data Engineering
  • Advanced Power BI development experience, including Power BI Service and self-service BI
  • Strong expertise in DAX, Power Query, semantic models, and shared datasets
  • Experience with Row-Level Security, report performance optimization, and enterprise-scale reporting
  • Knowledge of CI/CD practices for Power BI deployments
  • Strong hands-on experience developing complex PySpark transformations
  • Expertise in data cleansing, enrichment, aggregation, 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
  • Understanding of Star Schema, Snowflake Schema, fact and dimension modeling, and data warehouse concepts
  • Knowledge of Slowly Changing Dimensions and relationship modeling
  • Experience designing scalable analytical data models
  • Advanced SQL development skills, including query optimization, CTEs, window functions, views, and stored procedures
  • Experience developing enterprise Power BI solutions
  • Experience designing dimensional data models for enterprise reporting
  • Experience working with Agile delivery teams
  • Experience with Azure Databricks, Delta Lake, Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, or Snowflake
  • Experience implementing CI/CD pipelines for data and BI solutions
  • Experience in Banking, Insurance, Retail, or Financial Services
  • Exposure to enterprise data platforms and Lakehouse architecture
  • Knowledge of data governance, metadata management, and data quality frameworks
  • Experience mentoring junior BI developers

Kyndryl Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kyndryl and has not been reviewed or approved by Kyndryl.

  • Fair & Transparent Compensation — Pay is considered good in some roles, with mentions of “good pay,” “great pay and benefits,” and an “acceptable salary range” paired with bonuses. Certain senior or consulting tracks are described as market-competitive.
  • Leave & Time Off Breadth — Vacation, paid time off, holidays, and a dedicated volunteer day are highlighted as positives. Parental leave exists companywide alongside sick leave and disability coverage.
  • Wellbeing & Lifestyle Benefits — Remote and hybrid flexibility is emphasized, including 100% remote roles and a formal flexible workplace policy. Well‑being resources such as the Be Well program and an EAP are available.

Kyndryl Insights

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The Company
HQ: New York, NY
46,070 Employees
Year Founded: 2021

What We Do

We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems. We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar. Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.

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