At a Glance
- Tasks: Design and implement modern data solutions using cutting-edge technologies.
- Company: Join Leidos, a global leader in science and technology solutions.
- Benefits: Enjoy 33 days annual leave, private medical insurance, and flexible working options.
- Other info: Diverse and inclusive culture with excellent career development opportunities.
- Why this job: Make a real impact while growing your skills in a collaborative environment.
- Qualifications: Experience in Data Engineering and strong data management skills required.
The predicted salary is between 72000 - 88000 £ per year.
Location: Future vacancies could be available in Bristol, Farnborough or Whiteley (Hampshire).
The Role: Due to growth within UK programmes, we will need talented Data Engineers throughout the course of 2026. If you have a full understanding of the principles of Data Engineering and prior experience as a Data Engineer we would love to hear from you. Being part of the Leidos team is a commitment to push yourself and those around you to do better, constantly adapt and learn new technologies. We're a passionate team and are committed to developing and growing our staff.
Leidos is a global science and technology solutions leader working to solve the world's toughest challenges in the defence, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers.
Key Responsibilities:
- Provide data engineer skills and produce solution designs as part of both bid and delivery processes
- Work with delivery teams to design and implement modern, scalable data products using a range of new and emerging technologies
- Lead on all data solution aspects including setting data standards and providing your deep technical expertise to Leidos programme teams
- Utilise the concepts and principles of data modelling and produce relevant data models across multiple subject areas
- Collaborate with customers on all aspects of data management including the assurance and integration of data services to meet the needs of multiple lines of business
- Recognise and exploit business opportunity by leveraging data engineering and design best practice
- Communicate effectively across organisational, technical and political boundaries, understanding the context
Who Do We Need?
- Previous experience as a Data Engineer or a background in Data Management
- Data Modelling and Database Design
- Data Platform Modernisation
- Biometric Data Management and associated legislation
- Data Science / Analytics
- Predictive Scaling techniques
- Data Warehousing & Business Intelligence
- Data Migration
- Metadata Management
- Stakeholder Management & Data Governance
- Pre-sales content contribution and pricing for new business pursuits
- Large-scale Data Management (petabytes)
- Understanding or experience working within a Scaled Agile, or Agile delivery methodology
- Understanding of operating within a secure by design delivery approach
Clearance Requirements:
Clearance for Role SC. You must be willing to undergo SC or DV clearance dependent upon the security requirements for the role.
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.
Data Engineer in Frimley employer: Leidos
Leidos is an exceptional employer, offering a collaborative culture that prioritises employee growth and work-life balance. With a strong commitment to diversity and inclusion, employees are empowered to develop their skills through technical academies and career development plans, all while contributing to meaningful projects that enhance public sector services in London. The comprehensive benefits package, including a contributory pension scheme and flexible working options, further underscores Leidos' dedication to attracting and retaining top talent.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Frimley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Leidos!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Leidos.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Leidos.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Leidos, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Frimley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Leidos, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Leidos. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Leidos
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Leidos!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
