Particle41 is looking for a skilled and adaptable Data Engineer (Power BI) to join our growing team. In this role, you will be responsible for building and maintaining scalable ETL/ELT pipelines, optimising data warehouse/lakehouse solutions, and delivering reliable, analysis-ready datasets. You will also play a key role in developing and enhancing Power BI semantic models, dashboards, and reporting solutions, ensuring performance, accuracy, and business relevance. Working closely with product, engineering, and business stakeholders, you’ll deliver end-to-end data and BI solutions that drive meaningful outcomes for our clients. This is a great opportunity to work on impactful projects, solve complex data challenges, and grow in a fast-paced, collaborative environment.
P
Particle41Llcvia Greenhouse
Data Engineer - PowerBI
REMOTEPosted 5mo ago
Data EngineerMid LevelFull-time
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About the Role
Data Engineer - Power BI
In This Role, You Will:
Data Engineering & Pipeline Development
- Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of data from multiple sources.
- Build and optimize data lakes / data warehouses / lakehouse structures for efficient reporting and analytics.
- Integrate structured and unstructured data from internal and external systems to create a unified and analysis-ready layer.
- Ensure data accuracy, consistency, and completeness through validation, cleansing, transformation, and reconciliation checks.
- Maintain strong documentation for data pipelines, datasets, Power BI models, and reporting logic.
Power BI Reporting & Semantic Modeling (Core Focus)
- Develop and maintain Power BI dashboards and reports for business and leadership stakeholders.
- Build optimized semantic models in Power BI (star/snowflake schema) for performance and scalability.
- Write and optimize DAX measures, calculated columns, and KPIs aligned to business metrics.
- Use Power Query (M) for transformations and ensure reporting datasets are refresh-ready and reliable.
- Manage Power BI deployments via Power BI Service, including scheduled refresh, workspace access, and report sharing.
- Improve dashboard performance by optimizing data model design, relationships, and aggregations.
Requirements Gathering & Business Alignment
- Collaborate with product managers and business stakeholders to gather reporting requirements and translate them into technical deliverables.
- Participate in analysis sessions to understand business needs and propose best-fit BI/data solutions.
- Provide technical recommendations to improve reporting accuracy, usability, and speed of decision-making.
Agile Delivery
- Work in Agile development cycles including sprint planning, daily stand-ups, and sprint reviews.
- Deliver features on time by managing priorities, dependencies, and scope in
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