At a Glance
- Tasks: Design and deliver innovative data solutions across various domains.
- Company: Join a leading aerospace and defence company with a focus on collaboration.
- Benefits: Competitive salary, bonus potential, flexible working, and enhanced parental leave.
- Other info: Dynamic hybrid working environment with excellent career growth opportunities.
- Why this job: Make an impact by transforming data into valuable insights for the industry.
- Qualifications: Experience in data engineering with strong skills in Python and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Join our Data Fabric Services team in our Information Systems department as a Senior Data Engineer working across all directorates: Engineering, Simulation, Test, Production, Quality, Supply Chain, MRO, and Corporate Functions.
Salary: Circa 55,000 depending on experience.
Dynamic (hybrid) working: As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.
Company bonus: Up to 2,500 (based on company performance and will vary year to year).
Pension: maximum total (employer and employee) contribution of up to 14%.
Overtime: opportunity for paid overtime.
Flexi Leave: Up to 15 additional days.
Flexible working: We welcome applicants who are looking for flexible working arrangements.
Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave - enhancements are available for paternity leave, neonatal leave and fertility testing and treatments.
Facilities: Fantastic site facilities including subsidised meals, free car parking and much more.
The opportunity: In this role you will design enterprise-wide data and BI solutions brought together from varied sources — business data, simulators, missile test systems, shop-floor machines — and then turning them into a governed, value-generating asset.
Key Responsibilities:
- Capture needs and deliver end-to-end data solutions across technical and business domains.
- Architect data lakes, warehouses, lakehouses, and time-series stores.
- Develop Power BI analytics for self-service, KPI monitoring, and executive reporting.
- Define data models, governance, quality, lineage, and security aligned with defence requirements (ITAR/EAR, cybersecurity).
- CI/CD, monitoring, CaaS - Container as a Service - integration model on hybrid/on-prem environments.
Hard Skills:
- Experience in data engineering, ideally aerospace/defence or industrial sectors.
- ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka).
- Strong Python and SQL; C++, C#, or MATLAB a plus.
- Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB.
- Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau).
- T/OT integration, Industry 4.0.
- DevOps/DataOps: Git, Docker, Kubernetes, CI/CD.
We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more.
Bolton Type: Full time.
Senior Data Engineer - AI & Data in Stevenage employer: MBDA
MBDA is an exceptional employer, offering a dynamic and inclusive work environment that prioritises employee well-being and professional growth. With competitive benefits such as a generous bonus scheme, flexible working arrangements, and enhanced parental leave, employees are supported in achieving a healthy work-life balance while contributing to meaningful projects that defend our freedom. Located in the UK, MBDA fosters a culture of collaboration and innovation, empowering its workforce through various employee-led networks and opportunities for continuous development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - AI & Data in Stevenage
✨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 MBDA!
✨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 Senior Data Engineer - AI & Data at MBDA.
✨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 MBDA.
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When you find a suitable opening like Senior Data Engineer - AI & Data at MBDA, 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 Data Engineer - AI & Data in Stevenage
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 MBDA, 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 MBDA. 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 MBDA
✨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 MBDA!
✨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.
