Microsoft Fabric Data & Analytics Solutions Engineer

About us

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Key Responsibilities

• · End-to-end delivery: Deliver complete Fabric solutions, from source integration and data processing through semantic models, reports and AI-enabled consumption, in line with approved architecture standards.
• · Data integration and engineering: Build reusable, metadata-driven pipelines and notebooks. Implement incremental loading, orchestration, reconciliation and data-quality controls.
• · Lakehouse and warehousing: Implement OneLake, Lakehouse, Warehouse and medallion architectures. Develop dimensional models and optimise SQL, Spark and Delta-based processing.
• · Analytics and reporting: Develop Power BI semantic models, DAX measures, reports and dashboards. Own source-to-report accuracy, security and performance.
• · AI-enabled delivery: Use approved Copilot and AI coding tools for design, coding, testing, documentation and troubleshooting. Apply Skills for Fabric and MCP-based automation where appropriate, and validate generated outputs before release.
• · Advanced Fabric workloads: Implement data agents, Fabric IQ/ontology, real-time analytics and data-science integrations as required by each solution.
• · Security, governance and deployment: Implement access controls, governance, lineage, Git-based development, automated testing and controlled CI/CD releases.
• · Production ownership: Monitor and troubleshoot solutions, optimise capacity and cost, resolve defects, and deliver migration, cutover and operational support.

Key Deliverables

Collaboration and Delivery Practices

Qualifications

• Experience: 2-5 years in data engineering, analytics or enterprise data-platform development, including hands-on Microsoft Fabric delivery.
• 2-5 years in data engineering, analytics or enterprise data-platform development, including hands-on Microsoft Fabric delivery.
• Required Technical Skills
• · Strong practical experience with Fabric Data Factory, OneLake, Lakehouse, Warehouse and notebooks.
• · Strong SQL/T-SQL, Python, PySpark and dimensional-modelling skills.
• · Hands-on Power BI semantic modelling, DAX and report development.
• · Demonstrated end-to-end solution ownership across development, testing, deployment and production support.
• · Practical use of AI-assisted engineering, including prompting, code validation and test generation.
• · Experience with Git, CI/CD, data security, governance and performance optimisation.
• · Ability to work across Fabric workloads and independently resolve cross-component issues.
• · SAP integration and Azure Synapse-to-Fabric migration.
• · Real-Time Intelligence, Data Flow Gen 2, KQL, Data Science and Microsoft Purview.
• · Microsoft Fabric certifications: DP-600 and/or DP-700.
• Success in This Role
• · Work effectively both independently and within a team to achieve project goals.
• · Apply strong problem-solving skills to innovate and improve existing processes.
• · Learn new capabilities quickly, document solutions clearly and mentor junior engineers.
• This role offers the chance to be at the forefront of technological innovation, helping to drive our company's AI and Analytics capabilities forward. If you are passionate about AI, data engineering and cloud technologies and eager to take on new challenges, we would love to hear from you.

Required Technical Skills

Preferred Skills and Certifications

Success in This Role

Preferred Qualifications

• Preferred Skills and Certifications