Senior Data Engineer - Microsoft Fabric & Azure

Agilisys; Wigan; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Enhanced Pension Scheme

Life Assurance

Perks at Work discounts

25 days annual leave

Job summary

Agilisys is looking for a Senior Data Engineer to own modern data-platform workstreams built on Microsoft Fabric and the Azure Data Platform. You will collaborate with architects, analysts and client stakeholders to deliver secure, scalable data solutions and promote production-grade services.

You will mentor engineers, contribute to engineering standards and help clients migrate from legacy platforms to production-grade Fabric solutions in a fast-moving public sector environment.

Qualifications

• 5+ years of commercial data engineering experience at senior level.

Responsibilities

• Deliver Fabric and Azure data platforms end to end: build and productionise Fabric solutions with OneLake, Lakehouses, Warehouses, Data Pipelines, Notebooks and Data Factory.
• Engineer reliable data pipelines and models using SQL, Python and PySpark; apply medallion, Kimball, normalised patterns; implement CDC, SCD, schema-change handling, idempotency, retries and data quality checks.
• Own Dev/Test/Production delivery and CI/CD: configure Fabric workspace structures, promote through environments with Git/Azure DevOps, and ensure rollback and approvals.
• Build for security and governance: implement secure-by-design controls with Entra ID, RBAC, data permissions, encryption; align with Fabric-native governance and Purview requirements.
• Optimise, monitor and troubleshoot production workloads: tune SQL/Spark/Delta storage, monitor pipelines and notebooks, handle data quality and failures in delivery.
• Support Power BI and data consumption: collaborate with analysts on semantic models, Direct Lake/Import, refresh, RLS/OLS, deployment and governed consumption.
• Lead engineering delivery and handover: own workstreams, mentor engineers, contribute to standards, and produce runbooks and documentation.

Skills

Senior data engineer

Microsoft Fabric

Azure data platform

SQL

Python

PySpark

Git & CI/CD

Azure DevOps

Power BI

Entra ID & RBAC

Tools

Microsoft Fabric

Azure Data Factory

Power BI

GitHub

Azure DevOps

Job description

Wigan / London

Location: Hybrid

Reports to: Chief Architect - Data and Insights

ABOUT US

Agilisys is at the forefront of digital transformation and innovation in the public services sector. Withover two decadesof experience,we haveestablishedourselves as a trusted partner for governments, local authorities, and organizations nationwide. Our mission is to empower our clients to deliver exceptional public services by harnessing the full potential of technology and data.

OURVALUES

Partnership: we become one team and family with organisations, helping them to navigate change and stayagile.

Integrity: our people really care, going beyond the brief to make change happen for organisations and citizens.

Innovation: we bring together the right technologies and services to design solutions that work.

Passion: we are passionate about - and dedicated to - public services and improving people’s lives.

THE ROLE

The Senior Data Engineer – Microsoft Fabric & Azure is a senior, hands-on role within Agilisys’ Data & AI Practice. You will take engineering ownership of modern data-platform workstreams from approved design through build, testing, production deployment and handover, with Microsoft Fabric and the Azure Data Platform at the core.

Working closely with architects, analysts, delivery teams and client stakeholders, you will help turn architecture into secure, scalable and supportable solutions. You will also contribute to engineering standards, mentor other engineers and help clients move from proof-of-value or legacy data platforms to production-grade services.

KEY RESPONSIBILITIES

• 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.

ESSENTIAL TECHNICAL EXPERIENCE

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.

DESIRABLE EXPERIENCE & CERTIFICATION

• 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.

THE OPPORTUNITY

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.

WHAT WE CAN OFFER YOU:

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

Benefits include:

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

We have a rigorous recruitment process, which we use for all our roles to ensure we attract thevery besttalent.

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.We encourage diversity through perspective, background, identity, and thought whilst also fostering an environment where everyone can express themselves regardless of your race, religion, sex, gender, colour, national origin, disability, or any other applicable legally protected characteristic. We are committed to continuing to nurture an inclusive environment and building a diverse workforce.