At a Glance
- Tasks: Develop and maintain data solutions, including ETL pipelines and reporting outputs.
- Company: Join BAE Systems, a leader in defence, aerospace, and security solutions.
- Benefits: Competitive salary, flexible working, and opportunities for personal growth.
- Other info: Inclusive workplace with a strong sense of purpose and career development.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Experience with data pipelines, SQL, and BI tools like Tableau and Cognos.
The predicted salary is between 51772 - 51772 £ per year.
Location: Warton, Hybrid, 2 days per week on site
We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role.
Salary: £51,772+ depending on skills and experience
Who we are:
Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us.
From the depths of the ocean, to the far reaches of space, there’s no limit to where a career at BAE Systems could take you.
Job Description:
You will develop and maintain data and BI solutions, including ETL pipelines, data models, and reporting outputs. Work closely with stakeholders to translate business requirements into technical solutions, while supporting ongoing system enhancements and issue resolution.
Core duties:
- Collaborate with stakeholders, analysts, and developers to deliver BI solutions aligned to business needs
- Translate business requirements into technical specifications and scalable data models
- Develop and maintain ETL pipelines to extract, cleanse, and transform data across systems
- Write and optimise SQL queries to support reporting and data analysis
- Deliver solutions within Agile environments, contributing to sprints, stand-ups, and Jira tracking
- Ensure quality through unit testing, peer reviews, and structured release processes
Essential Skills:
- Experience building end-to-end data pipelines, including ETL, data modelling, and reporting
- Hands-on use of SQL Server, SSIS, TIBCO Data Virtualisation, and Qlik Replicate for data integration
- Experience working with data from enterprise systems including SAP and ERP platforms
- Use of Tableau and Cognos to deliver reporting and business insights
- Experience working with stakeholders to translate requirements into technical solutions
- Familiarity with Agile delivery and structured development lifecycles
The Air Data and Analytics team:
The Air Data Analytics team delivers enterprise-wide data solutions, integrating data from multiple sources including Data Warehouses, SAP, and ERP systems across multiple business platforms. Operating in a fast-paced, Agile environment, the team focuses on building and maintaining ETL processes, data models, and reporting solutions using tools such as Tableau and Cognos. Working closely with senior stakeholders, the team transforms complex data into actionable insights to support strategic decision-making.
Why BAE Systems?
Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make.
A place where everyone can thrive:
We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do.
Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.
Closing Date: 22nd April 2026
We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.
Data Engineer employer: BAE Critical Skills
Contact Detail:
BAE Critical Skills 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 current employees at BAE Systems on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about ETL processes, SQL queries, and data modelling. We want to see you shine!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss how you've tackled challenges in past projects, especially when working with stakeholders to deliver BI solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL pipelines, SQL, and any relevant tools like Tableau or Cognos. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention your experience working in Agile environments and collaborating with stakeholders.
Showcase Your Projects: If you've worked on any relevant projects, don’t hesitate to showcase them! Whether it's a personal project or something from a previous job, we love seeing practical examples of your skills in action, especially around data modelling and reporting.
Apply Early!: Don’t wait until the last minute to submit your application. We might close the vacancy early if we get enough applications, so get your application in through our website as soon as you can. We can't wait to see what you bring to the table!
How to prepare for a job interview at BAE Critical Skills
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like SQL Server, SSIS, and Tableau. Be ready to discuss your hands-on experience with these technologies and how you've used them to build data pipelines or reporting solutions.
✨Understand Agile Methodologies
Since the role involves working in Agile environments, brush up on Agile principles and practices. Be prepared to share examples of how you've contributed to sprints or stand-ups in previous roles, showcasing your ability to work collaboratively.
✨Translate Business Needs into Technical Solutions
Think about past experiences where you successfully translated business requirements into technical specifications. Prepare to discuss how you approached stakeholder collaboration and what strategies you used to ensure their needs were met.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering, particularly around ETL processes or data modelling. Highlight how you resolved these issues and the impact your solutions had on the business, demonstrating your analytical thinking.