Data Engineer

 Posted 4 hours ago
     
10+ years experience
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AI Summary

The role involves designing and operating end-to-end data solutions using Microsoft Fabric, Azure, and the Power Platform to digitize business processes. The candidate will own data architecture, BI dashboard development, and the migration of legacy on-premise systems to the cloud.

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.

 

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