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- Tasks: Evaluate, build, and maintain data sets for internal customers in generative AI.
- Company: Join a dynamic international team at a leading tech company.
- Benefits: Competitive salary, company bonus, pension contributions, and flexible working options.
- Why this job: Make an impact in the exciting field of generative AI while enjoying work-life balance.
- Qualifications: Experience in data engineering and a passion for innovative technologies.
- Other info: Opportunity for paid overtime and enhanced parental leave.
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
Data Engineer in Farnworth employer: MBDA
Contact Detail:
MBDA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Farnworth
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially around generative AI. Be ready to discuss how your skills can help them build and maintain data sets effectively.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let us see what you've built. Highlighting your hands-on experience with data engineering will make you stand out.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Engineer in Farnworth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with generative AI and data management, as these are key for us. Use keywords from the job description to show you’re a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Don’t forget to mention why you’re excited about working with us at StudySmarter.
Showcase Relevant Projects: If you've worked on any projects related to data sets or generative AI, make sure to include them in your application. We love seeing real-world examples of your skills and how you’ve tackled challenges.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at MBDA
✨Know Your Data Inside Out
As a data engineer, you’ll need to demonstrate your understanding of data structures and generative AI. Brush up on the latest trends and technologies in the field, and be ready to discuss how you've applied them in past projects.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and knowledge of data engineering tools. Practice coding challenges or data manipulation tasks relevant to the role, so you can showcase your skills confidently during the interview.
✨Showcase Your Communication Skills
You’ll be working with internal customers, so it’s crucial to communicate complex data concepts clearly. Prepare examples of how you’ve effectively collaborated with non-technical stakeholders in the past, highlighting your ability to bridge the gap between data and business needs.
✨Understand the Company Culture
Research the company’s values and work environment. Be ready to discuss how your personal values align with theirs, especially regarding flexible working arrangements and team collaboration, as this will show you’re a good fit for their dynamic structure.
