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- Tasks: Lead data collection and analysis to enhance product support and reliability.
- Company: Join MBDA, a leading defence organisation committed to supporting the Armed Forces.
- Benefits: Up to £50,000 salary, company bonus, flexi leave, and excellent training opportunities.
- Why this job: Make a real impact by transforming data into actionable insights for global customers.
- Qualifications: Experience in data analysis within Defence/Aerospace and strong Excel skills required.
- Other info: Dynamic hybrid working environment with fantastic site facilities and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Within the Customer Support and Services (CSS) team, there is a vital opening for a Data Management Engineer. In this role, you will take ownership of how data is collected and analysed in-service. The results of this continued analysis will drive refinement into product support modelling, support reliability assessments and deliver critical insights to our domestic and global customers. You will be the bridge between real-life field data and our long-term engineering strategy.
Salary: Up to £50,000 depending on experience
Location: Stevenage/Bristol/Bolton
Dynamic (hybrid) working: 2 days per week on-site due to workload classification
Security Clearance: British Citizen or a Dual UK national with British citizenship. 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
- 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…
- Training and Development: Excellent career progression, training and career development opportunities
The opportunity:
- Process development: Lead the development and continuous improvement of data collection and related processes across our in-service products, focusing on usage, failures, end user damage and maintenance trends.
- Predictive Modelling: Ensure real-life data is integrated into product models through a rigorous annual update process also linking into the Integrated Logistic Support (ILS) teams planning support packages for equipment to be delivered ensuring data is consistent across the product life cycle.
- S&OP Integration: Collate and transform complex data into actionable feeds for the Sales & Operations Planning process.
- Collaboration: Partner with Project Design Authorities (DA), Quality, Repair, Reliability, Integrated Logistic Support and Manufacturing teams to build and utilise a seamless and accurate data set.
- Data collection: Ensure all data relevant to reliability is collated and presented to the Reliability and Support Teams to conduct analysis.
- Customer Engagement: Work directly with customers, asset management teams, Product Support and ILS teams to identify new data sources and improve the depth of our trend analysis.
What we're looking for from you:
- Essential
- Technical Background: Experience as a Support Engineer or Data Analyst within Defence/Aerospace industry.
- Data Proficiency: Strong skills in data collection methodologies and statistical analysis to identify trends and anomalies. Strong Excel skills are required for this role with experience in PowerBI beneficial.
- Influence: Ability to work cross-functionally and influence stakeholders across different departments to ensure data quality.
- Process Mindset: Familiarity with creating and maintaining Standard Operating Procedures (SOPs) for data integrity.
- Good understanding of missile / weapon systems and their constituent elements, and operational context in which they are employed.
- Experience working in Systems Design / Sub-System Design would be beneficial.
- Experience working with DE&S and UK MOD customer would be beneficial.
Our company: 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 Management Engineer in Stevenage employer: MBDA
Contact Detail:
MBDA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Engineer in Stevenage
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at MBDA. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Be ready to discuss how you've used data analysis in past roles, especially in the Defence/Aerospace sector. Show us your passion for data!
✨Tip Number 3
Don’t just wait for job openings; be proactive! Keep an eye on our careers page and apply directly through our website. It shows initiative and helps you stand out from the crowd.
✨Tip Number 4
Follow us on social media! Engaging with our content can help you understand our company culture better and might even give you some talking points for your interview.
We think you need these skills to ace Data Management Engineer in Stevenage
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Management Engineer role. Highlight your experience in data collection and analysis, especially within the Defence/Aerospace industry. 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 this role and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your data proficiency.
Showcase Your Technical Skills: Since this role requires strong Excel skills and familiarity with data methodologies, make sure to highlight these in your application. If you've worked with PowerBI or have experience in predictive modelling, let us know!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at MBDA
✨Know Your Data Inside Out
As a Data Management Engineer, you'll be dealing with complex data sets. Make sure you brush up on your data collection methodologies and statistical analysis skills. Be ready to discuss how you've identified trends and anomalies in past roles, as this will show your technical proficiency.
✨Showcase Your Collaboration Skills
This role requires working cross-functionally with various teams. Prepare examples of how you've successfully collaborated with different departments in the past. Highlight any experiences where you influenced stakeholders to ensure data quality, as this will demonstrate your ability to bridge gaps between teams.
✨Familiarise Yourself with the Company’s Context
Understanding the defence and aerospace industry is crucial. Research MBDA's products and their operational contexts. Being able to discuss how your background aligns with their mission will show that you're not just interested in the job, but also in contributing to their goals.
✨Prepare for Predictive Modelling Questions
Since predictive modelling is a key part of the role, be prepared to discuss your experience with integrating real-life data into product models. Think about specific examples where you've led process improvements or updates, and be ready to explain your approach to ensuring data consistency across product life cycles.
