At a Glance
- Tasks: Design and maintain high-quality data pipelines and integrations using cutting-edge technologies.
- Company: Join BAE Systems, a leader in innovation and progress.
- Benefits: Competitive salary, flexible working arrangements, and support for personal wellbeing.
- Other info: Be part of an inclusive team that values diverse perspectives and offers excellent career growth.
- Why this job: Make a real impact by delivering reliable data solutions that drive decision-making.
- Qualifications: Experience in SQL Server, ETL development, and data modelling required.
The predicted salary is between 55000 - 55000 £ per year.
Job Location: Preston – Hybrid - 1 day a week onsite. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role.
Circa £55,000 depending on skills and experience.
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.
As a Data Engineer you will design, build, and maintain high quality data pipelines, integrations, and data platform components that underpin data products across the organization using ETL with SQL Server, SSIS and Alteryx amongst other technologies.
Operating within a product centric model, the role flexes across multiple capability areas—including Master Data Management (MDM), data archiving and lifecycle management, integration engineering, and specialist engineering domains to ensure data is reliable, accessible, secure, and value-generating.
Data Engineers work within agile, cross-functional squads, collaborating closely with Product Owners, Data Architects, Analysts, and SMEs to deliver incremental value aligned to product outcomes.
- Core Data Engineering
- SQL Server Database Development
- Develop data models and curated layers to support data product use cases.
- Ensure data quality, reliability, and performance across pipelines and data models.
- ETL Development using SSIS and Alteryx to connect operational systems, data for analytics and business intelligence (BI) systems.
- Embed data quality rules, validation frameworks, observability, and automated monitoring.
- Knowledge of Git, version control, CI/CD, and data testing/validation techniques.
- Creating/modifying and optimising SQL Server database objects; writing complex, testable and efficient advanced SQL code.
- Familiarity with ETL/ELT frameworks, orchestration tools, and data modelling practices.
- Designing and implementing ETL pipelines using SSIS for data integration to ensure ETL processes perform optimally.
- Identifying and fixing pipeline bottlenecks and data issues.
- Understanding of data governance, data quality, and best practices.
The Data Management team:
Our Data Management team is an innovative, customer‑focused group of data engineers and specialists responsible for building trusted enterprise data foundations. We work across master data management, data quality, metadata management, data integration, and data warehousing, using tools such as SQL, SSIS, and Alteryx to deliver reliable, scalable data solutions. Partnering closely with our customers and stakeholders, we turn business needs into high‑quality data products that enable insight and decision‑making.
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. 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.
Senior Engineer, Data Engineering in Preston employer: BAE Critical Skills
BAE Systems is an exceptional employer that offers a dynamic work environment in Barrow-in-Furness, where you can contribute to pioneering defence and aerospace solutions. With a strong commitment to employee growth, lifelong learning, and a culture of inclusivity, you'll find ample opportunities to develop your skills while being recognised for your contributions. Enjoy a balanced lifestyle with tailored rewards and relocation support, all within a supportive community that values diversity and shared purpose.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Preston
✨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 BAE Critical Skills!
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✨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 BAE Critical Skills.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Engineer, Data Engineering at BAE Critical Skills, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Engineer, Data Engineering in Preston
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 BAE Critical Skills, 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 BAE Critical Skills. 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 BAE Critical Skills
✨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 BAE Critical Skills!
✨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.