21 день назад
BI Engineer (Power BI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
BI Engineer (Power BI): Building scalable enterprise reporting solutions, semantic data models, and PySpark transformation pipelines with an accent on Power BI, dimensional modeling, and large-scale data processing. Focus on optimizing DAX and SQL performance, validating complex datasets, and designing reliable analytics solutions for business stakeholders.
Location: Hoofddorp, North Holland, Netherlands
Company
operates and modernizes mission-critical technology systems for leading businesses, using data and AI-powered insight to support smarter decisions and innovation.
What you will do
- Design and develop scalable Power BI dashboards, semantic models, and enterprise reporting solutions.
- Build PySpark transformation logic for cleansing, enriching, aggregating, and preparing large datasets.
- Design dimensional data models using fact and dimension tables, Star Schema, and Snowflake Schema.
- Integrate enterprise data sources and develop optimized SQL queries, views, and stored procedures.
- Validate and reconcile data, investigate root causes, and optimize report and model performance.
- Define KPIs and reporting standards with Product Owners, Data Engineers, Architects, and business stakeholders.
Requirements
- 5+ years of experience in Business Intelligence, Analytics, or Data Engineering.
- Advanced Power BI development skills, including Power BI Service, DAX, Power Query, semantic models, shared datasets, RLS, and enterprise reporting.
- Strong hands-on experience with PySpark, Spark SQL, large-scale data processing, incremental processing, and performance optimization.
- Advanced SQL skills, including CTEs, window functions, query optimization, views, and stored procedures.
- Experience with dimensional modeling, data warehousing, Slowly Changing Dimensions, and scalable analytical data models.
- Experience working with Agile delivery teams and CI/CD practices for BI or data solutions.
Nice to have
- Experience with Azure Databricks, Delta Lake, Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Snowflake, Git, or Azure DevOps.
- Experience in Banking, Insurance, Retail, or Financial Services.
- Knowledge of Lakehouse architecture, data governance, metadata management, or data quality frameworks.
- Experience mentoring junior BI developers.
Culture & Benefits
- Growth opportunities through hands-on learning, certifications, coaching, and personalized development goals.
- Support for financial, mental, physical, and social well-being through Be Well programs.
- Inclusive culture focused on belonging, empathy, continuous learning, and shared success.
- Access to certifications from Microsoft, Google, and Amazon.
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