Data Engineer

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

💵 £61.5k - £78.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 0%

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• 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

• 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

• 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