Senior Data Engineer – Microsoft Fabric

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ELITS

WebsiteLinkedInAll Job Openings

51 - 200 employees

📡 Telecommunications

Telecommunications • IT-Consulting • DevOps

ELITS is a company founded in 2006 that has grown from a small team to a global workforce. It aims to be one of Sweden’s best workplaces by focusing on customer satisfaction and employee development. ELITS offers a diverse range of roles, including telecommunications, IT consulting, DevOps development, and more. The company values strong relationships with employees, customers, and communities, emphasizing honesty, transparency, and continuous improvement. With a family-friendly culture, ELITS promotes work-life balance, creativity, and simplicity in its operations.

📋 Description

• Design, build and own the Bronze → Silver → Gold lakehouse architecture in Microsoft Fabric, following medallion design principles for progressive refinement of data. • Develop robust, idempotent data pipelines with data quality checks and validation at each tier boundary. • Define and maintain data products, data models, ownership boundaries, SLAs and documentation for the Data Hub platform. • Work with architects and stakeholders to define and follow data architecture standards across the platform. • Ensure data accuracy, completeness and consistency across data sources, transformation layers and consumer interfaces. • Identify, troubleshoot and resolve data‑related issues in pipelines, schemas, transformations and downstream consumption. • Collaborate closely with Data Scientists, Data Analysts and business units to understand data requirements and deliver fit‑for‑purpose data products. • Provide technical guidance and support on data‑related topics across teams. • Document data flows, schemas, transformations, pipelines and operational processes to support maintainability and team scalability.

🎯 Requirements

• Senior‑level profile with proven hands‑on delivery experience in data engineering and technical ownership of production data platforms. • Able to work independently and take technical ownership. • Strong communication skills and experience working in cross‑functional teams. • Deep experience with PySpark, Spark SQL and Delta Lake, including partitioning strategy, MERGE patterns, and batch versus streaming trade‑offs. • Production experience with Microsoft Fabric or Azure Databricks. • Hands‑on experience with Azure data platforms, including Azure Synapse, Microsoft Fabric, and active development experience in Databricks for pipelines and optimization. • Strong understanding of event‑driven patterns for data ingestion; experience with Azure Event Hubs is a strong plus. • Solid understanding of data modelling and database design for analytics and business consumption. • Experience with version control and CI/CD practices using GitHub Actions, which is commonly used for Azure and Fabric‑related deployment workflows. • Good knowledge of Azure cloud services and data platform services. • Ability to think in terms of data products and domain ownership, and to define clear interfaces between platform teams and consuming teams. • Strong operational mindset for running and supporting pipelines in production.

🏖️ Benefits

• Great team environment • Remote work options