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.
- Other info: Be part of a diverse team driving innovation and shaping the future.
- Why this job: Make an impact by enhancing data quality and collaborating on innovative projects.
- Qualifications: Experience in data engineering, programming skills, and a degree in STEM or similar.
The predicted salary is between 63000 - 77000 £ 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 DataOps infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands.
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
- Orchestrate the ingestion, processing, and storage of raw data within structured and unstructured data repositories.
- 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. Requirements include:
- Technical expertise in designing, building, and maintaining data pipelines, data warehouses, and leveraging data services.
- Proficient in DataOps methodologies and tools, including experience with continuous integration/continuous delivery (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.
We value skills, knowledge and experience gained through both traditional and non-traditional career paths and encourage applications from candidates who can demonstrate equivalent capability through professional experience or alternative qualifications.
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).
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!
Systems Engineer - Data Engineering in Edinburgh employer: Leonardo
Leonardo is an exceptional employer that prioritises employee experience and inclusion, offering a dynamic work culture in the heart of Edinburgh. With flexible hybrid working arrangements, generous leave policies, and comprehensive mental health support, employees are empowered to thrive both personally and professionally. The company fosters growth opportunities, ensuring that every team member can develop their skills and advance their careers in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Systems Engineer - Data Engineering in Edinburgh
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Systems Engineer - Data Engineering in Edinburgh
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!
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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.
