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- Tasks: Evaluate, build, and maintain data sets for internal customers in a dynamic environment.
- Company: Join MBDA, a leading defence organisation supporting the Armed Forces.
- Benefits: Competitive salary, company bonus, flexible working, and enhanced parental leave.
- Why this job: Work with cutting-edge generative AI technology and make a real impact.
- Qualifications: Experience with SQL, noSQL, Python, and big data technologies required.
- Other info: Dynamic hybrid working with excellent career growth opportunities.
The predicted salary is between 45000 - 55000 £ per year.
As a data engineer specialising in generative AI, this role will see you working in a developing international and transversal structure. You will have the responsibility to evaluate, build and maintain data sets for internal customers whilst ensuring they can be maintained.
Salary: Circa £45,000 - £55,000 depending on experience
Dynamic (hybrid) working: 2-3 days per week on-site due to workload classification
Security Clearance: British Citizen. Restrictions and/or limitations relating to nationality and/or rights to work may apply. 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.
What we can offer you:
- 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:
The MBDA IM GenAI delivery Office department is looking for an experienced data engineer able to evaluate design, deploy, improve and support MBDA data sets. You will ensure MBDA data pipelines are designed to be resilient, secure and responsive. You will use your data engineering expertise to collaborate with different internal customers regarding their data, ensuring they are optimised and secured for their needs. You will provide your knowledge in data management and data quality to guarantee compliance to MBDA data governance. A key part of this role is keeping up to date with new technology, where you will provide insight on our technology roadmap and deliver cutting edge solutions to our internal customers.
What we're looking for from you:
- SQL technologies skills (e.g. MS SQL, Oracle)
- noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J)
- Data exchange and processing skills (e.g. ETL, ESB, API)
- Development (e.g. Python) skills
- Big data technologies knowledge (e.g. Hadoop stack)
- Knowledge in NLP (Natural Language Processing)
- Knowledge in OCR (Object Character Recognition)
- Knowledge in Generative AI (Artificial Intelligence) would be advantageous
- Experience in containerisation technologies (e.g. Docker) would be advantageous
- Knowledge in the industrial and / or defence sector would be advantageous
MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more. We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.
Data Engineer in Manchester employer: Mbda Uk
Contact Detail:
Mbda Uk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at MBDA. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these technologies in past projects, as they'll want to see your practical experience.
✨Tip Number 3
Show off your passion for generative AI! Keep up with the latest trends and be prepared to share your thoughts on how they could impact data engineering. This will show you're not just qualified, but genuinely interested.
✨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 serious about joining the team at MBDA.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, noSQL, and any relevant technologies like Python or Hadoop. We want to see how your skills match 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 your background aligns with our mission at MBDA. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool projects related to data engineering, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team at MBDA. We can't wait to hear from you!
How to prepare for a job interview at Mbda Uk
✨Know Your Tech Stack
Make sure you brush up on your SQL and NoSQL technologies, as well as data processing skills like ETL and API. Be ready to discuss how you've used these in past projects, especially in relation to generative AI.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in previous roles. Highlight your experience with big data technologies and how you've ensured data quality and compliance in your work.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in data engineering and generative AI. Being able to discuss new technologies and their potential applications will show your passion and commitment to the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data governance practices and how they integrate new technologies. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
