Data Engineer

Middle Hulton
1 week ago
Create job alert

Bolton

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 advantageousOur company: Peace is not a given, Freedom is not a given, Sovereignty is not a given

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.

Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

#LI-RM1

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (Automation)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Cloud Computing Tools Do You Need to Know to Get a Cloud Job?

If you are aiming for a role in cloud computing, it can feel like the skills list never ends. One job advert asks for AWS, Terraform and Kubernetes. Another mentions Azure DevOps, PowerShell and ARM templates. A third throws in Docker, Python, Linux, CI/CD, monitoring tools and security frameworks. It is no surprise that many cloud job seekers feel overwhelmed before they even apply. Here is the reality most cloud hiring managers agree on: they are not hiring you because you know every cloud tool. They are hiring you because you understand cloud concepts, can design reliable systems, manage costs, keep things secure and support real workloads. Tools matter, but only when they support outcomes. So how many cloud computing tools do you actually need to know to get a job? For most roles, the answer is far fewer than you think. This article explains what employers really expect, which tools are essential, which are role-specific, and how to focus your learning so you look capable and employable rather than scattered.

What Hiring Managers Look for First in Cloud Computing Job Applications (UK Guide)

anding a job in cloud computing can be highly competitive — especially in the UK market where demand far outpaces supply in many segments. Whether you’re aiming for roles in Cloud Engineering, DevOps, Site Reliability, Cloud Architecture, Security, Data/Analytics, or Platform Operations, hiring managers screen applications quickly and with specific priorities in mind. Hiring managers don’t read every detail at first; they scan for critical signals in the first 10–20 seconds. These early signals determine whether your CV gets read more closely, whether your LinkedIn profile gets clicked, and whether you’re invited to interview. This guide breaks down, in practical terms, exactly what hiring managers look for first in cloud computing applications — and what you should emphasise in your CV, cover letter and portfolio to stand out on www.cloudcomputingjobs.co.uk .

The Skills Gap in Cloud Computing Jobs: What Universities Aren’t Teaching

Cloud computing underpins almost every modern digital service. From financial systems and healthcare platforms to AI, e-commerce, government infrastructure and cybersecurity, the cloud is now the default operating environment for UK organisations. Demand for cloud professionals has grown rapidly, with roles spanning architecture, engineering, security, DevOps, platform operations and cost optimisation. Salaries remain high, and vacancies remain stubbornly difficult to fill. Yet despite a growing number of graduates with computer science, IT and software engineering degrees, employers across the UK report a persistent problem: Too many candidates are not job-ready for real cloud computing roles. This is not a question of intelligence or motivation. It is a structural skills gap between what universities teach and what cloud jobs actually require. This article explores that gap in depth: what universities do well, what they consistently miss, why the gap exists, what employers genuinely want, and how jobseekers can bridge the divide to build sustainable careers in cloud computing.