Fabric Data Engineer
Key Skills
Job Description
Brigital is a full-service BI, Automation & AI agency headquartered in Amsterdam. We design and deliver solutions using technologies such as Microsoft Fabric, Power Platform and the latest AI tools. We work with clients across a wide variety of industries, including manufacturing, construction, healthcare, education and professional services. From growing businesses to large international organisations, our projects offer exposure to different industries, technologies and business challenges. We're a growing, international team of developers, data engineers and solution architects, working at the forefront of modern data and automation technology. Role Description This is a contractual Data Engineer (Microsoft Fabric) role with a flexible work arrangement — fully remote, with optional collaboration from Amsterdam or Cape Town. You will focus on designing, building, and maintaining a parameterized data warehouse. You will work across multiple data sources, integrating databases and APIs into a scalable Fabric-based platform. The role requires strong data modeling capabilities and the ability to structure data for downstream analytics, including Power BI reporting. You will work closely with the founder and collaborate with a wider team of BI, automation, and data specialists, gaining exposure to diverse projects, industries, and modern data tooling. Must Have Qualifications At least 3 years of experience in data engineering, with hands-on experience in Microsoft Fabric and Azure Data Factory Strong experience integrating multiple data sources, including: Direct database connections (SQL, etc.) and API-based integrations Experience designing and implementing scalable data models across multiple source systems Working knowledge of Power BI (data modeling, dataset structuring, or report integration) Strong in SQL skills PySpark Comfortable working in a fully remote, contract-based environment Confident and clear English communication skills Nice to Have Proven experience building and maintaining data warehouses with parameterized or modular architectures Familiarity with data governance, data quality frameworks, and monitoring Experience optimizing data pipelines for performance and cost efficiency Experience working for a consultancy or agency
Core Responsibilities
Design, build, and maintain a parameterized data warehouse on Microsoft Fabric, integrating databases and APIs into a scalable platform. Develop data models and structure datasets for downstream analytics and Power BI reporting while collaborating with the founder and wider specialist team.
Requirements
Requires at least three years of data engineering experience, hands-on Microsoft Fabric and Azure Data Factory experience, strong SQL and PySpark skills, and experience integrating databases and APIs. Candidates should be able to design scalable data models, have working knowledge of Power BI, and communicate confidently in English in a remote contract environment.
About Brigital
Industry: IT Services and IT Consulting
Company size: 11-50 employees
We’re Brigital—a development agency specializing in Business Intelligence, Automation and AI Agents. Our team are market leaders in Power BI, Fabric, Azure, Power Apps, Power Automate, Copilot Studio and Azure AI Foundry. We love helping companies bridge the gap between business needs and the best technology to serve them. Here's what sets us apart: ✅ Business-First Approach: using the founders background as an operator building business' to drive true understand what drives true value instead of flashy but ineffective technical solutions. ✅ Broad Community: we have built a community with shared aspirations around freedom, independence and accountability allowing us to tap into the most driven developers around the world. ✅ Enterprise at any scale: Having deployed BI, automation, and ETL solutions at enterprises (100k employees) to bring best practices to companies at any scale. ✅ Honesty & Transparency: our core values ensure we focus on delivering lasting impact for our partners over short term gain. ✅ Technology-Enabled Process Improvement: leveraging the latest BI, automation, and workflow tools to and get your results as efficiently as possible (practicing what we preach)