Senior Data Engineer - Microsoft Fabric & Azure

• Deliver Fabric and Azure data platforms end to end: Build and productionise Microsoft Fabric solutions using OneLake, Lakehouses, Warehouses, Data Pipelines, Notebooks, Dataflows and Azure Data Factory, including integration with legacy, cloud and on-premises data sources.
• Engineer reliable data pipelines and models: Design batch, incremental and near-real-time ETL/ELT using SQL, Python and PySpark; apply medallion, dimensional/Kimball, normalised and data-product patterns as appropriate; and use production-grade techniques such as CDC, SCD, schema-change handling, idempotency, retry/replay, backfill and source-to-target reconciliation.
• Own Dev/Test/Production delivery and CI/CD: Configure Fabric workspace structures and environment-specific settings, and implement controlled promotion using Git, Azure DevOps/GitHub, Fabric Deployment Pipelines, APIs or controlled manual steps where Fabric item limitations require them. Apply branch protection, peer review, testing, approvals, rollback and release evidence.
• Build for security, governance and compliance: Implement secure-by-design controls using Microsoft Entra ID, RBAC, Fabric workspace/item/data permissions, managed identities or service principals, encryption and appropriate network controls. Work with architects and governance specialists on Fabric-native governance and Microsoft Purview requirements where these are in project scope.
• Optimise, monitor and troubleshoot production workloads: Tune SQL, Spark, Delta/Parquet storage, partitioning and compute for performance, cost and reliability. Establish monitoring and alerting for pipelines, notebooks, semantic-model refreshes, data freshness and Fabric capacity, and diagnose failures, data-quality issues and performance problems during delivery and hypercare.
• Support Power BI and data consumption: Work effectively with data analysts for Power BI semantic models and reporting solutions, including Direct Lake and Import concepts, refresh, RLS/OLS, performance and deployment considerations, and enable governed consumption through semantic models, SQL endpoints, data products and APIs where required.
• Lead engineering delivery and handover: Own assigned engineering workstreams, collaborate with stakeholders, mentor engineers, contribute to design and engineering standards, and produce clear technical documentation including implementation details, HLD/LLD contributions, operational runbooks and knowledge-transfer materials for client and support teams.

You will have a strong track record of hands-on data engineering delivery, with the technical depth to work independently and the communication skills to operate confidently with technical and business stakeholders.

• 5+ years’ commercial data engineering experience, including experience operating at Senior Data Engineer level, with strong recent hands-on Microsoft Fabric delivery experience (ideally 18–24+ months) and demonstrable delivery of at least one production-grade Fabric implementation.
• Strong Microsoft Fabric experience across OneLake, Lakehouse, Warehouse, Data Pipelines, Notebooks and Dev/Test/Production workspace patterns.
• Advanced SQL, Python and PySpark, with practical experience of Delta/Parquet, medallion architecture and production-grade batch/incremental ETL/ELT.
• Strong Git and CI/CD experience using Azure DevOps and/or GitHub, including controlled release, testing, deployment, rollback and environment promotion practices.
• Good Azure data-platform experience, including Azure Data Factory and secure cloud/on-premises connectivity using gateway, managed private endpoint or related network patterns where required.
• Working knowledge of Power BI semantic-model integration, Direct Lake/Import concepts, refresh, RLS/OLS, performance and deployment.
• Practical experience of Microsoft Entra ID, RBAC, managed identities/service principals, secure engineering, data quality, testing, troubleshooting, operational documentation and runbooks.
• Strong stakeholder management, mentoring and communication skills, with the ability to work in fast-moving multidisciplinary teams and contribute constructively to architecture and engineering decisions.
• Experience of public-sector, local-government or other regulated environments is strongly valued. You must hold active Security Clearance or be eligible and willing to undertake BPSS/security clearance appropriate to client requirements.

• Microsoft Certified: Fabric Data Engineer Associate (DP-700); DP-600 is also beneficial.
• Microsoft Purview and Fabric-native governance capabilities.
• Fabric Real-Time Intelligence, Eventstreams and Eventhouse/KQL.
• Private Link, managed private endpoints, Azure Key Vault and gateway infrastructure.
• Fabric REST APIs, PowerShell/Azure CLI, Infrastructure as Code and deployment automation.
• Experience with Databricks and/or Snowflake.

You will join a growing Data & AI Practice delivering modern Data, AI, Analytics and Cloud solutions across the public sector, with particular emphasis on Microsoft Fabric and the wider Microsoft ecosystem.

The role offers hands-on exposure to enterprise-scale programmes, complex production challenges and the opportunity to influence how Agilisys designs and engineers modern data platforms.

This role will offer exposure to the right mix of challenges, within a culture that promotes continuous learning and development.

include:

• Life Assurance
• Access to exclusive discounts and offers through the company’s “Perks at Work” scheme
• 25 days annual leave (with the option to buy more)

Simply submit your CV.

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Individuals seeking employment at Agilisys must note that we see diversity as something that creates a better workplace and delivers better outcomes.

As such, we are keen to maximise the diversity of our workforce and actively encourage applications from all.

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We are committed to continuing to nurture an inclusive environment and building a diverse workforce.