Data Engineer

Data Engineer

Are you ready for your next career challenge?..

Role overview:

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.

Primary responsibilities:

• 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.

Required skills and capabilities:

• 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.

Clearance requirements:

• SC required to start

• SC required for the role

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Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction...

What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: •    Contributory Pension Scheme •    Private Medical Insurance •    33 days Annual Leave (including public and privilege holidays) •    Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme)

•    Flexible Working Scheme

Commitment to Diversity:

We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture.  We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.  If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs.

Who We Are:

Leidos UK & EUROPE – we work to make the world safer, healthier, and more efficient through technology, engineering and science.

Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation.

What Makes Us Different:

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world.  You can inspire change.

Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team.  We have been empowering our people to work flexibly for years.  Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours.          

People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

£61,500.00-£78,800.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.