At a Glance
- Tasks: Create innovative data solutions and build scalable pipelines for exciting projects.
- Company: Join a leading aerospace and defence company with a dynamic culture.
- Benefits: Enjoy 25 days paid leave, flexible working, and a generous pension plan.
- Other info: Flexible hybrid working with excellent career growth opportunities.
- Why this job: Make an impact in the aerospace sector while developing your skills in data engineering.
- Qualifications: Experience in data engineering and proficiency in Python and SQL required.
The predicted salary is between 55000 - 55000 £ per year.
Job Overview: Capture needs and deliver end-to-end data solutions across technical and business domains.
Responsibilities:
- Build scalable ETL/ELT and streaming pipelines from simulators, HIL/SIL benches, MES/SCADA, ERP, and PLM.
- 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).
- Drive DataOps: CI/CD, monitoring, CaaS - Container as a Service - integration model on hybrid/on-prem environments.
Qualifications:
- 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.
- Awareness of DO-178C, ISO 27001, MOD guidelines appreciated.
Soft Skills:
- Transverse mindset
- Autonomy and ownership
- Strong collaboration across multidisciplinary international teams
- Pragmatic problem-solving
Benefits & Perks:
- Paid annual leave: 25 days per calendar year, plus 1 day each at 5, 10, and 15 years of service; option to purchase up to five additional days.
- Dynamic Working policies: flexibility on hours and location; option for paid overtime, dynamic leave (time in lieu) etc.
- Retirement Savings Plan: Defined Contribution plan with 4% employee base salary contribution and 6% employer contribution (both up to +2%).
- Financial Awareness: free financial webinars and education website.
- Share Incentive Plan: purchase shares in UK Shareholder BAE Systems PLC, tax efficient.
- Mortgage Advice and webinar resources.
- Season Ticket Loan: borrow value of public transport season ticket, repay over 12 months.
- Critical Illness: tax-free lump sum for diagnosed critical illness.
- Employee Assistance Programme: free, confidential, 24/7 counselling up to 8 sessions.
- Private Medical Insurance: funded or voluntary plans, with family options.
- Dental Insurance: cash back for daily expenses, six levels of cover.
- Healthcare Cash Plan: cash back for everyday healthcare expenses, six levels.
- Healthcare and Leisure: cash back for medical & optician expenses, and access to leisure deals.
- Gym Membership: Healthworks on-site gym with classes; annual discounted membership at 3,600+ UK gym chains.
- The Club: social activities, theatre trips, etc.
- Employee benefits: awards, recognition, etc.
- Enhanced parental leave: up to 26 weeks for maternity, adoption and shared parental leave; paternity and neonatal benefits; 2 weeks enhanced pay for paternity.
- £2,500 Company bonus (variable).
- Pension: up to 14% total contributions.
- Paid overtime opportunities.
- Flexi Leave: up to 15 additional days.
- Flexible working arrangements available.
- Facilities: subsidised meals, free car parking, etc.
- Technology Vouchers: up to £2,500 for gadgets, paid over 12 months.
- Charity Donations: up to five charities each month, full tax relief.
- MyCar Scheme: up to two new vehicles via salary sacrifice.
- Holiday Purchase: up to 5 extra holiday days, spread over 12 months.
- Financial support for further study: £150 per year.
Working Conditions: Dynamic (hybrid) working: 2 days per week on-site due to workload; flexible hours and location based on role. Options include paid overtime, dynamic leave (time in lieu), and more.
Salary & Incentives: Salary: Circa £55,000 depending on experience.
Security Clearance: Office requires British Citizen or Dual UK national with British citizenship. All successful candidates must undergo HMG Basic Personnel Security Standard checks (BPSS). UK Security or BPSS Clearance is required.
Data Engineer in Stevenage employer: MBDA S.A.S.
As a Data Engineer at our company, you will thrive in a dynamic and inclusive work culture that prioritises employee well-being and professional growth. With generous benefits such as flexible working arrangements, extensive health insurance options, and a robust retirement savings plan, we empower our employees to achieve a healthy work-life balance while contributing to cutting-edge data solutions in the aerospace and defence sectors. Join us in a collaborative environment where your skills will be valued, and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Stevenage
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We think you need these skills to ace Data Engineer 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 S.A.S., 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 S.A.S.. 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 S.A.S.
✨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 S.A.S.!
✨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.
