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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 a comprehensive benefits package.
- 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 driving innovation and enhancing global safety.
The predicted salary is between 28800 - 48000 £ 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 in Dunfermline employer: Leonardo
Contact Detail:
Leonardo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Dunfermline
✨Tip Number 1
Network like a pro! Reach out to current data engineers on LinkedIn or at meetups. Ask them about their experiences and any tips they might have for landing a role like this. You never know who might have a lead on an opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or ETL processes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and data engineering concepts. Practice common interview questions and even consider mock interviews with friends or mentors to build confidence.
✨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 passionate candidates who are eager to join our team and make an impact in the data engineering space.
We think you need these skills to ace Data Engineer in Dunfermline
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your technical expertise in data pipelines, programming languages, and any relevant projects you've worked on.
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 at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, emphasise your problem-solving abilities. We love candidates who can think critically and creatively when it comes to data challenges, so don’t hold back on sharing your thought process!
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
✨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 experience with these tools and how you've used them to build or maintain data pipelines.
✨Showcase Problem-Solving Skills
Prepare examples of past challenges you've faced in data engineering and how you solved them. This could involve optimising a data pipeline or improving data quality. Highlighting your problem-solving skills will demonstrate your fit for the role.
✨Understand Data Governance
Brush up on data governance principles and be prepared to discuss how you would support implementation in the role. Understanding the importance of data quality and compliance will show that you take data management seriously.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.