Senior Data Engineer

As the Senior Data Engineer, you will be responsible for designing, building and supporting enterprise data solutions using the Microsoft Fabric ecosystem. Acting as a technical SME and escalation point, you will lead best practice implementation across data engineering, governance, performance optimisation and operational support.

Key responsibilities include:

Designing and optimising Microsoft Fabric solutions including OneLake, Lakehouses, Warehouses, Data Factory pipelines, Dataflows Gen2, Spark notebooks and Semantic Models

Implementing scalable Medallion Architecture across Bronze, Silver, Gold and Serving data layers

Developing resilient batch and near real-time data integration pipelines from enterprise applications, APIs, databases and cloud platforms

Building complex data transformations using SQL, Python and PySpark

Delivering data platform migration, modernisation and reporting transformation initiatives

Driving data quality, governance, security and compliance across the data lifecycle

Leading performance tuning, monitoring, optimisation and capacity management activities

Designing and supporting backup, recovery, high-availability and disaster recovery solutions

Providing technical leadership, mentoring and knowledge sharing across data teams

Supporting production-critical environments through troubleshooting, root cause analysis and continuous improvement initiatives

About You

You are a senior data engineering professional with deep expertise across Microsoft data platforms and a strong track record delivering enterprise-scale solutions in complex environments.

Essential Experience

7+ years' experience supporting enterprise data platforms, database environments and data infrastructure services

Hands-on experience delivering Microsoft Fabric implementations and transformation projects

Strong expertise across:

Microsoft Fabric

OneLake, Lakehouse and Warehouse architectures

Azure Data Factory

Microsoft SQL Server and Azure SQL

Power BI and Semantic Models

SQL, Python and PySpark

Experience designing secure, scalable and governed cloud data platforms

Strong understanding of data governance, security, encryption, auditing and compliance requirements

Experience with performance tuning, backup and recovery, high availability and disaster recovery

Proven experience working within large-scale enterprise and cloud-enabled environments

Strong stakeholder engagement and communication skills with the ability to translate technical concepts into business outcomes

Highly Regarded

Microsoft Data, Azure or Fabric certifications

ITIL and/or ISO 27001 certifications

Experience with automation, PowerShell and Infrastructure-as-Code practices

Exposure to enterprise cloud transformation and data modernisation programs

Why Join Us?

Lead enterprise-wide data and analytics transformation initiatives

Work with cutting-edge Microsoft Fabric technologies

Influence architecture, standards and platform strategy

Collaborate with highly skilled technology and business teams

Deliver solutions that support advanced analytics, reporting and AI capabilities

Flexible and supportive working environment

Ongoing professional development and career growth opportunities

If you're passionate about modern data platforms and want to play a leading role in shaping the future of enterprise data and analytics, we'd love to hear from you.

Apply now and help build the data foundations that power better business decisions.