Data Engineer (Postgres)

Location: Farnborough, with flexibility to work from home dependent on business demands

Salary: £47,000 - £61,000

Clearance requirements: For this position you must have been a UK resident for at least 10 years in order to meet the security clearance residency criteria

Join our UK Team who are committed to a Mission!

The Role:

We are looking for an experienced Data Engineer to join us on a permanent basis. We need talented individuals to apply their software development and data engineering skills for solving problems with data across a number of critical UK sectors.

We are on a mission to ensure that Leidos stands out in what is becoming an increasingly popular market place. It means creative solutions to problems using innovative design, implementation and testing of systems and services with a focus on scalability and sustainability.

What will I be doing?

You will work closely with the Data Architect, Senior Data Engineers and fellow Data Engineers to form an integral part of the team. Our team comprises a blend of seasoned experts and intermediate level engineers. It is a great place to be able to use your skills, learn from others and form one of the best performing teams in the business.

Your responsibilities will include:

• Working in a team of peer Data Engineers in an Agile manner
• Build, Maintain and Operate Data environments in the cloud
• Debug and resolve data processing and analytics issues
• Being proactive in evaluating and developing tools and technologies in improving the data platforms
• Supporting the development of data integration and data processing processes
• Sharing and collaborating with engineering, testing and dev-ops teams
• Supporting the creation of project plans, identification of risks, and generation of risk mitigation plans
• Supporting the migration of test and sensitive production data
• Supporting the operational system in a 3rd Tier support capacity

What does Leidos need from me?

As a minimum you will have:

• Postgres Database administration
• SQL programming (PL-SQL a plus)
• Experience with AWS Database offerings such as RDS, Aurora
• Expertise with AWS Data Migration Services (DMS)
• Leading a team of Data engineers in an Agile / Scrum environment
• Good communication skills
• Experience estimating task effort and identifying dependencies
• Experience analysing and improving query performance

The following would be advantageous:

• AWS Aurora Database or similar RDS managed database
• Experience supporting the operations of a large database, preferably Postgres.
• Large scale data migration experience
• Familiarity with DB2
• Familiarity with Oracle
• Scripting language experience (e.g. Python)

Clearance Requirements:

SC Clearance to start (we will support obtaining this)

SC Clearance for role

Unleash your talents at Leidos UK! Grow and advance rapidly in your career by letting us challenge you with the world’s toughest technical problems.

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)

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.