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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI Engineer - **Company:** Kyndryl - **Location:** Hoofddorp, Netherlands (Remote available) - **Experience:** Expert - **Salary:** €5,625.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Business Intelligence Development, Big Data, Continuous Integration, Data Architecture, Data Validation, Data Cleansing, Information Engineering, Data Governance, Data Transformation, Data Warehousing, Decision Support Systems, Dimensional Modeling, Apache Hive, Meta-Data Management, Performance Tuning, Query Optimization, Power BI, SQL Stored Procedures, SQL Databases, Enterprise Data Management, Data Processing, Azure Data Factory, Snowflake, Git, Powerquery, Microsoft Fabric, Data Lakes, Pyspark, Star Schema, Azure Synapse Analytics, Databricks - **Published:** September 15, 2026 - **Apply:** https://dejobs.org/x/x/9A0A881AED3E415DB9D9062C0A5B97E6/job/ ## About the Role 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., 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. ## Description 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., * 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Software Developer Salary in The Netherlands [2023]](https://www.wearedevelopers.com/magazine/217-software-developer-salary-in-the-netherlands-2023) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)