About the position
ENVIRONMENT:
A global digital transformation consultancy and software solutions provider is currently seeking a Data Engineer who works comfortably at both ends of the delivery spectrum. You will design the data architecture that an enterprise depends on, and you will also build the pipelines that make it work. The role spans three types of engagement: migrating existing estates onto Microsoft Fabric, modernising platforms that have outgrown their original design, and standing up greenfield Fabric implementations from a blank sheet. Microsoft Fabric is a firm requirement for this position. Candidates without demonstrable, hands on Fabric delivery experience will not be considered. You will work directly with client stakeholders, so the ability to explain architectural tradeoffs to a technical audience and
to a business audience is as important as the engineering itself.
DUTIES:
- Design and document data architecture for enterprise clients, covering medallion patterns, domain driven design and governance frameworks.
- Build and orchestrate ingestion and transformation pipelines, with a bias towards metadata driven approaches that scale beyond a single project.
- Lead migration and modernisation work, moving workloads from platforms such as Teradata and on premises SQL Server into Fabric and Azure.
- Deliver end to end Fabric implementations across Lakehouse, Warehouse, Data Factory, OneLake and Real Time Intelligence.
- Build and tune Power BI semantic models, including DAX, row level and object level security, and deployment pipelines.
- Establish CI/CD for data platforms, including source control, branching strategy, automated deployment and environment promotion.
- Apply AI native engineering practices to accelerate delivery, including agentic workflows and the Model Context Protocol.
- Set technical standards and review the work of other engineers. At Lead level, this includes owning the technical direction of an engagement and mentoring the delivery team.
REQUIREMENTS:
Core skills
- Microsoft Fabric, end to end Lakehouse, Warehouse, Data Factory, OneLake and Real Time Intelligence.
- Power BI Semantic models, DAX, row level security and object level security, deployment pipelines, and performance tuning.
- Data architecture Medallion patterns, domain driven design, and governance frameworks.
- Data engineering Metadata driven ingestion, ETL and ELT orchestration, and CI/CD for data platforms.
- Migration and modernisation Moving Teradata and on premises SQL estates onto Fabric and Azure, including assessment, sequencing, reconciliation and cutover.
- AI native data engineering Agentic workflows, the Model Context Protocol, and the use of Claude Code on Fabric.
Technologies
Microsoft Fabric · Power BI · Azure Synapse · OneLake · Data Factory · DAX · T SQL · Spark · Azure DevOps · Git · MCP
Nice to have
- Experience designing and delivering training, whether formal client enablement sessions, internal upskilling, or structured handover to a client team at the end of an engagement. This carries real weight for us, because a large part of the value they leave behind is a client team that can operate the platform without us.
- Relevant Microsoft certifications in the Fabric, Azure data or Power BI tracks.
- Experience in a consulting or client facing delivery environment.
- Exposure to data governance tooling such as Microsoft Purview.
What they look for beyond the technology
- Clear written communication. Much of the role is remote, and decisions need to survive being read rather than
- explained in person.
- Comfort with ambiguity at the start of an engagement, and the discipline to reduce it quickly.
- A willingness to be challenged on architectural decisions, and to challenge others in turn.
Desired Skills:
