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# Data Engineer

- **Company:** Leidos, Inc.
- **Location:** UK (Remote available)
- **Salary:** £61,500.0 - £78,800.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computing Platforms, Microsoft Azure, Software as a Service, Cloud Database, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Security, Dataspaces, Document-Oriented Databases, Python (Programming Language), Metadata, Operational Databases, Reference Data, SQL Databases, Transaction Data, Azure Data Factory, Microsoft Fabric, AWS Glue, AWS Data Analytics, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** September 5, 2026
- **Apply:** https://dejobs.org/x/x/3C24557784D84C55BB0A29FA120D8C4F/job/

## About the Role

* 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

Required experience:

 * 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.

Desired experience:

 * 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.

## Description

Design, build and operate trusted data pipelines and data services for ESCS reporting, integration, migration and analytics. The Data Engineer ensures that data is reliable, governed, secure and available to authorised users and services when needed.

The role you will play:

 * 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.


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