At a Glance
- Tasks: Build scalable data solutions and optimise data environments for informed decision-making.
- Company: Join Leonardo, a leader in Aerospace, Defence, and Security with a collaborative culture.
- Benefits: Enjoy competitive salary, generous leave, mental health support, and flexible working options.
- Other info: Opportunities for career growth and access to 4,000+ online courses.
- Why this job: Make a real impact on high-tech projects while developing your skills in a dynamic environment.
- Qualifications: Experience in SQL, ETL/ELT processes, and data platforms; a willingness to learn is key.
The predicted salary is between 53000 - 71000 £ per year.
Salary Range £53,000 - £71,000. Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity.
Your Impact
At Leonardo UK, you’ll help shape and strengthen the organisation’s data capabilities by building scalable, reliable, and future‑ready data solutions that enable informed decision‑making across the business. As a Data Engineer, you’ll work in a collaborative and fast‑paced environment where innovation, automation, and data integrity are central to success.
Job Description
- Design, develop, and maintain robust ETL/ELT pipelines to support the ingestion, transformation, validation, and delivery of data across multiple systems and platforms.
- Manage and optimise enterprise data environments, including cloud‑based data warehouses and data lakes such as Snowflake, BigQuery, Redshift, and Azure Synapse, ensuring high levels of scalability, reliability, and performance.
- Collaborate closely with Data Science, Business Intelligence, and Engineering teams to ensure data is accurate, accessible, and aligned to business objectives.
- Partner with stakeholders across the organisation to gather reporting and analytics requirements, translating business needs into effective and sustainable data solutions.
- Automate data integration, orchestration, and monitoring workflows using modern tools and frameworks including Python, Dagster, and Azure Data Factory.
- Support the development and optimisation of dashboards and reporting solutions across platforms such as Power BI, Tableau, and Looker, helping to ensure semantic consistency and trusted reporting outputs.
- Maintain high‑quality documentation and governance standards to ensure traceability, reproducibility, and compliance across data assets, pipelines, and processes.
- Continuously identify opportunities to improve data architecture, operational efficiency, and engineering best practices across the wider data ecosystem.
This is an opportunity to work with modern technologies on meaningful, high‑impact projects, helping drive the evolution of data engineering within one of the UK’s leading advanced technology organisations.
What You'll Bring
- Technical expertise: Strong knowledge of SQL, ETL/ELT processes, data warehousing, and modern data platforms. Experience with Python, Dagster, Azure Data Factory, and Azure SQL is essential; familiarity with big data technologies (e.g. Hadoop, Spark) is advantageous.
- Analytical thinking: Ability to interpret complex datasets and support the development of meaningful, insight‑driven BI solutions.
- Problem solving: Proven ability to diagnose and resolve complex data integration and data quality challenges.
- Communication: Strong stakeholder engagement skills, with the ability to translate technical concepts into clear business language.
- Attention to detail: High level of accuracy in validating data and ensuring integrity across systems.
- Documentation & governance: Commitment to maintaining clear, structured documentation to support traceability and best practice.
- Experience in data engineering, data management, or a related field, with hands‑on expertise in data integration and pipeline development.
- Certifications (desirable): Industry‑recognised certifications such as Microsoft Certified Data Engineer Associate or equivalent.
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). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).
For more information and guidance please visit https://careers.uk.leonardo.com/gb/en/security-and-vetting.
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 part time opportunities, please talk to us about what might be possible for this role.
Primary Location GB - Edinburgh. Additional Locations GB - Basildon, GB - Bristol - Coldharbour Lane, GB - Luton - Cap. Green 300, GB - Newcastle, GB - Southampton, GB - Yeovil - Lysander Rd. Contract Type Permanent. Hybrid Working Hybrid.
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.
Data Engineer in Yeovil employer: Leonardo
At Leonardo UK, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work culture that prioritises employee wellbeing and professional growth. With a comprehensive benefits package, including generous leave, an award-winning pension scheme, and access to over 4,000 online courses, we empower our Data Engineers to thrive in a collaborative environment where innovation and data integrity are at the forefront of our mission. Join us in Edinburgh and be part of a team that values your contributions and fosters a culture of continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Yeovil
✨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 Leonardo!
✨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 Leonardo.
✨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 Leonardo.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer in Yeovil
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 Leonardo, 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 Leonardo. 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 Leonardo
✨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 Leonardo!
✨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.
