Data Engineer

Summarythis
Leeds, United Kingdom
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Leeds, United Kingdom

Tech stack

Data analysis
Azure
Cloud Storage
Data Architecture
Information Engineering
Data Governance
Data Transformation
Logic Synthesis of Circuits
Python
Azure
SQL Databases
Azure
Spark
GIT
SC Clearance
Microsoft Fabric
Data Lake
PySpark
Information Technology
Data Lakehouse
Azure
Software Version Control
Data Pipelines
Legacy Systems
Databricks

Job description

Design, build, and optimise data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2) and Azure Data Factory to ingest data from legacy systems and third-party sources.Develop and maintain the Bronze, Silver, and Gold layers of the lakehouse architecture using OneLake, Delta Lake, and Apache Spark within Fabric.Implement data transformation logic using PySpark, SQL, and Fabric Notebooks; ensure data quality, lineage, and cataloguing via Microsoft Purview.Collaborate with Technical Architects and Infrastructure Engineers to support CI/CD pipelines, infrastructure-as-code, and platform automationContribute to knowledge transfer workshops, running instructions, and documentation to build internal capability.Support governance compliance including Digital Design Authority reviews, Red Lines Assessments, and security controls.

Requirements

Essential requirementsStrong experience with Microsoft Azure Fabric (Lakehouses, Data Pipelines, Dataflows Gen2, Fabric Notebooks)Strong experience with Azure Data Factory (ADF) for orchestration and data movementStrong proficiency in PySpark, SQL, and Python for large-scale data transformationStrong experience with Delta Lake, Apache Spark, and OneLake architectureGood knowledge of Microsoft Purview for data governance, cataloguing, and lineageGood experience with Azure DevOps, Git-based version control, and CI/CD pipelinesGood understanding of data lakehouse architecture (medallion architecture - Bronze/Silver/Gold)Good knowledge of Azure storage services (ADLS Gen2, Azure Blob Storage Nice to have skillsExperience with Azure Synapse Analytics or migration from Synapse to FabricFamiliarity with Databricks or equivalent distributed processing platformsExperience in UK public sector or government data environmentsUnderstanding of SC clearance requirements and government security classificationsKnowledge of DDAT frameworks and GDS delivery standards QualificationsRelevant degree in Computer Science, Data Engineering, or related discipline (or equivalent experience)Microsoft Certified: Azure Data Engineer Associate (DP-203) - desirableMicrosoft Fabric Analytics Engineer (DP-600) - desirable

About the company

Job summaryThis is a pivotal engineering role at the heart of one of the most significant data transformation programmes in largest public service department,. You will be joining a strategic engagement programme to design, build, and operationalise a cloud-native data lakehouse on Microsoft Azure Fabric.This is with the UK's largest public service department, serving over 22 million citizens, and this platform will directly underpin data-driven decision-making at national scale.You will take a leading role in the design and delivery of data pipelines, data transformation layers, and lakehouse infrastructure using Microsoft Fabric, Azure Data Factory, and related Azure-native technologies.You will work in agile squads alongside architects, analysts, and DevOps engineers, contributing to private beta builds, public beta expansion, and full platform operationalisation.

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