Data Engineer

Leidos

Data Engineer building secure, governed data pipelines for Leidos UK’s defence, healthcare, government, and security solutions. Supporting reporting, migration, integration, and analytics.

Posted 9/4/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSenior💰 £61,500 - £78,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data pipelines, ensuring data quality, security, and governance while supporting data migration and analytics. Proficient in cloud data services, particularly on Azure and AWS, with a strong focus on collaboration with cross-functional teams.

Highest-signal resume keywords

SQL Data TransformationPython Data EngineeringETL/ELT Pipeline DesignData Quality ControlsCloud Data Services on Azure and AWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingData WarehousingData GovernanceData MigrationData SecurityData LineageData CleansingOperational MonitoringData Integration PatternsMetadata Management

Soft Skills

Collaboration with StakeholdersProblem-Solving

Tools & Technologies

AWS GlueAzure Data FactoryMicrosoft FabricDatabricksPower BI

Certifications & Qualifications

SC Clearance

Industry Keywords

Enterprise SaaS Data IntegrationSupply Chain DataTransactional Data

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build and operate trusted data pipelines and data services for ESCS reporting, integration, migration and analytics
Create scalable data pipelines and models across ESCS source and target platforms
Build data quality, lineage, security and operational monitoring into delivery
Support migration, reporting and decision-making with reliable data engineering
Design and implement ingestion, transformation, validation and publishing pipelines
Develop data models and contribute to warehouse, lakehouse or platform design
Implement data quality controls, reconciliation, lineage and metadata
Support master and reference data management approaches
Engineer secure access, retention and protection controls with relevant specialists
Plan and execute data migration, cleansing and cutover activities
Monitor pipeline reliability, performance and cost and resolve operational issues
Document data flows, mappings, rules, interfaces and support procedures

Requirements

What you’ll need

SQL and data transformation
Python or equivalent data engineering language
ETL/ELT pipeline design and orchestration
Data modelling and warehousing/lakehouse concepts
Data quality, reconciliation and observability
Data governance, catalogue, metadata and lineage
Master and reference data management awareness
Data security and access control
Data migration and mapping
Cloud data services on Azure and/or AWS
Development and support of production data pipelines
Experience with structured data, integration patterns and data modelling
Experience implementing data quality and operational monitoring
Experience collaborating with analysts, architects, developers and business stakeholders
SC clearance required to start and for the role
Desired: AWS Data Services, AWS Glue, Azure Data Factory, Microsoft Fabric, Synapse, Databricks, Power BI data ecosystems, enterprise SaaS data integration and migration, procurement, supply chain or transactional data

Benefits

Comp & perks

Contributory Pension Scheme
Private Medical Insurance
33 days Annual Leave (including public and privilege holidays)
Flexible benefits including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme
Flexible Working Scheme
Technical academies
Career rotations
Career development plans
Digital tools and flexibility to work from home, the office or on customer sites