Job Opportunities API

Data Engineer - Power BI *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="939bcb52-4927-4803-97ab-81e27bde755f" data-testid="conversation-turn-38" data-scroll-anchor="true" data-turn="assistant"> 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. 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 a fast-paced environment. Testing, Debugging & Reliability Perform thorough testing of pipelines and reports to ensure reliability, performance, and data correctness. Write unit tests and validations for transformations and pipeline outputs. Conduct integration testing to ensure end-to-end reporting flows work as intended. Identify and resolve defects, performance bottlenecks, and model/report issues proactively. Continuous Improvement & Innovation Stay updated on trends in data engineering, BI analytics, and Power BI capabilities. Recommend improvements to enhance scalability, maintainability, and performance of the data/reporting ecosystem. Continuously optimise existing codebases, ETL processes, and Power BI dashboards for better efficiency.