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For Companies At a Glance
- Tasks: Design and maintain data architecture, transforming raw data into valuable insights.
- Company: Join Leonardo, a global leader in Aerospace, Defence, and Security.
- Benefits: Enjoy flexible working, generous leave, and access to 4,000+ online courses.
- Why this job: Make an impact by optimising data systems and collaborating with innovative teams.
- Qualifications: Experience in data engineering, programming skills, and a passion for learning.
- Other info: Be part of a diverse team shaping the future of technology.
The predicted salary is between 36000 - 60000 £ per year.
Your Impact
As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the data operations infrastructure, manage and optimise performance, reliability, and scalability of the system to meet growing demands on ingestion and processing pipelines. To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages.
What you’ll do
- Orchestration ingestion and storage of raw data into structured or unstructured solutions.
- Design, Develop, Deploy and Support data infrastructure, pipelines and architecture.
- Implement reliable, scalable, and tested solutions to automate data ingestion.
- Development of systems to manage batch processing and real-time streaming of data.
- Evaluate business needs and objectives.
- Support implementation of data governance requirements.
- Facilitate pipelines, which prepare data for prescriptive and predictive modelling.
- Working with domain teams to scale the processing of data.
- Identify opportunities for data acquisition.
- Combine raw information from different sources.
- Manage and maintain automated tools for data quality and reliability.
- Explore ways to enhance data quality and reliability.
- Collaborate with data scientists, IT and architects on several projects.
What you’ll bring
- Successful Candidates will have previous experience as a data or software engineer in a similar role.
- Technical expertise in designing, building, and maintaining data pipelines, data warehouses, and leveraging data services.
- Proficient in DataOps methodologies and tools, including experience with CI/CD pipelines, containerisation, and workflow orchestration.
- Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.)
- Knowledge of programming languages (e.g. Java, Python, SQL).
- Hands‑on experience with SQL/NoSQL database design.
- Degree in STEM, or similar field; a Master’s is a plus.
- Data engineering certification (e.g IBM Certified Data Engineer) is a plus.
This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn.
Security Clearance
This role is subject to pre‑employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). All successful applicants must be eligible for full security clearance and access to UK‑caveated and ITAR controlled information.
Why join us
At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company‑funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you’re looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive.
- Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.
- Secure your Future: Benefit from our award‑winning pension scheme with up to 15% employer contribution.
- Your Wellbeing Matters: Free access to mental health support, financial advice, and employee‑led networks championing inclusion and diversity.
- Rewarding Performance: All employees at management level and below are eligible for our bonus scheme.
- Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning.
- Refer a friend: Receive a financial reward through our referral programme.
- Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.
- Flexible working: Flexible hours with hybrid working options.
For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now!
Data Engineer employer: Leonardo UK Ltd
Contact Detail:
Leonardo UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and architecture. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from candidates who are genuinely interested in joining our team at Leonardo.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your data engineering expertise, especially with tools like Spark and Airflow, to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering. Share specific examples of how you've tackled challenges in previous roles and how you can contribute to our team.
Showcase Your Problem-Solving Skills: In your application, don’t just list your technical skills—give us a glimpse into your problem-solving process. We love candidates who can think critically and creatively when faced with data challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Leonardo UK Ltd
✨Know Your Data Tools
Familiarise yourself with the specific data tools and technologies mentioned in the job description, like Spark, Airflow, and Hive. Be ready to discuss your hands-on experience with these tools and how you've used them to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you successfully tackled complex data challenges. Highlight your approach to combining data from different sources and how you ensured data quality and reliability in your solutions.
✨Understand DataOps Methodologies
Brush up on DataOps principles and be prepared to discuss your experience with CI/CD pipelines and workflow orchestration. This will show that you not only understand the technical side but also the operational aspects of data engineering.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and future projects. This demonstrates your genuine interest in the role and helps you assess if the company aligns with your career goals.
