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ROLE OVERVIEW
Senior Data Engineer
We are looking for a Senior Data Engineer who will own the design, deployment, and operation of end-to-end data solutions across Microsoft Fabric, the Power Platform suite, and Azure cloud infrastructure.
This role is not about maintaining pipelines — it is about being the central technical authority who digitises business processes, migrates legacy systems to the cloud, and delivers enterprise-grade intelligence at scale.
WHAT YOU WILL OWN
1
Data Architecture & Microsoft Fabric
Architect and manage secure, enterprise-grade data pipelines on Microsoft Fabric — from ingestion through to the serving layer
Design end-to-end data solutions integrating on-premise sources, Azure cloud, and Microsoft Dynamics 365
Establish robust data modelling layers — lakehouses, warehouses, and semantic models — within the Fabric ecosystem
Own the migration of legacy on-premise data structures to Azure, with zero tolerance for data loss or governance failure
Define data architecture standards and enforce them across all active programmes
2
Business Intelligence & Power BI
Develop and maintain enterprise-grade Power BI dashboards used by business and executive stakeholders
Configure secure internal and external workspace access — row-level security, publishing permissions, and data refresh governance
Own end-to-end data transformation pipelines that feed the BI layer — from raw ingestion to clean, performant semantic models
Drive cross-departmental BI adoption without compromising data integrity or governance standards
3
Power Platform Automation & Digitisation
Digitise and automate manual business processes using Microsoft Power Automate — targeting cross-departmental workflows
Build internal enterprise applications using Microsoft Power Apps — replacing manual, error-prone processes
Deploy and maintain external-facing organisational portals via Microsoft Power Pages
Own Power Platform governance — environment strategy, DLP policies, and connector approvals
4
Database Administration & Performance
Configure and maintain relational databases supporting operational software backends and ERP systems
Manage capacity planning, trigger logic, permissions, and indexing strategies for high-availability systems
Develop and own automated SQL maintenance routines to optimise query performance and minimise downtime
Enforce database security best practices — access controls, audit trails, and encryption at rest and in transit
5
Infrastructure Support & Stakeholder Communication
Act as the technical bridge between business stakeholders and data infrastructure — translating requirements into scalable solutions
Manage administrative data engineering queues — access requests, provisioning, and systemic infrastructure upgrades
Produce clear, structured technical documentation for all architectures, pipelines, and processes you own
Interface with senior leadership and department heads to communicate data platform capabilities and roadmaps
EXPERIENCE & CORE CAPABILITIES
8+ years in data engineering — with deep, hands-on expertise in Microsoft Fabric and the Power Platform suite
Proven track record architecting and deploying end-to-end Azure data solutions — from ingestion to BI layer
Strong background in relational database administration, SQL performance optimisation, and production system management
Hands-on experience with Microsoft Dynamics 365 integration and enterprise data modelling
Demonstrated experience migrating legacy on-premise data estates to Azure — including governance and access controls
Excellent English communication skills — ability to translate complex technical requirements into business outcomes
Exposure to AI/ML tooling and automation-first data engineering practices is a strong advantage
Core Capabilities
1
Fabric & Platform Depth
You have architected production solutions on Microsoft Fabric — lakehouses, warehouses, data pipelines, and semantic models. Power Platform is not a side skill; it is how you deliver business value.
2
BI & Visualization Excellence
You build Power BI dashboards that executives trust. You understand row-level security, workspace governance, and performance optimization — not just how to drag a chart onto a canvas.
3
Data Architecture Rigour
You design systems with data quality, lineage, and governance as first-class concerns. You document your decisions and make trade-offs visible — not buried in a pipeline no one else can understand.
4
Cloud & Migration Expertise
You have migrated legacy on-premise data estates to Azure. You understand the risks — schema drift, access governance, cut-over planning — and have delivered migrations without data loss.
5
Communication & Translation
You write as precisely as you code. You gather requirements from non-technical stakeholders and produce documentation that others can operate from. English fluency and stakeholder clarity are non-negotiable.
