At a Glance
- Tasks: Design and build scalable data pipelines for mission-critical systems.
- Company: Specialist technology consultancy in defence and complex environments.
- Benefits: Competitive salary, hybrid working, and exposure to high-impact projects.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real-world impact while solving challenging engineering problems.
- Qualifications: Experience in data applications, Python, SQL, and cloud platforms.
The predicted salary is between 60000 - 90000 £ per year.
Our client is a specialist technology consultancy delivering high-impact engineering across defence and complex environments, supporting organisations operating in secure, mission-critical settings. The focus is on solving challenging problems through high-quality engineering, combining technical depth with hands-on delivery.
This role offers the opportunity to work on data-intensive systems within demanding environments, building scalable pipelines and robust data platforms that support real-world outcomes.
You'll have the opportunity to:
- Design and build data pipelines and data-intensive applications
- Work across large-scale datasets in complex engineering environments
- Contribute to modern data platforms and distributed systems
- Collaborate with engineers and clients to deliver production-ready solutions
- Take ownership of delivery within high-impact programmes
- Work with modern tools and frameworks across data engineering
Your Responsibilities:
- Design and build scalable data pipelines and processing systems
- Develop data solutions using Python, SQL, or similar technologies
- Work with distributed processing frameworks such as Spark or Databricks
- Build and optimise data workflows across cloud platforms (AWS, Azure, GCP)
- Implement orchestration frameworks such as Airflow
- Test, troubleshoot, and improve data products to ensure reliability and quality
- Collaborate with engineering teams to deliver robust, maintainable systems
Key Requirements:
- Experience building data-intensive applications and pipelines
- Strong programming skills in Python and SQL
- Experience working with at least some of:
- Distributed computing frameworks (e.g. Spark, Databricks)
- Cloud platforms (AWS, Azure, or GCP)
- Workflow orchestration tools (e.g. Airflow)
- Strong understanding of data system reliability, testing, and performance
- Experience troubleshooting and improving production data systems
- Strong problem-solving skills and attention to detail
- Ability to work in collaborative, delivery-focused environments
- UK national, eligible for UK Security Clearance (SC)
You will gain exposure with:
- Large-scale data engineering within defence and secure environments
- Modern cloud-based data platforms and distributed systems
- End-to-end data pipeline design and optimisation
- High-assurance, real-world engineering challenges
- Embedded delivery within client environments
Why Join:
- Work on mission-critical data systems with real-world impact
- Operate in a high-performance, engineering-focused environment
- Take ownership of meaningful technical delivery
- Gain exposure to complex, high-assurance systems
- Flexible working across Newcastle, Manchester, Bristol, and London
Interested? Apply now.
Data Engineer - Defence in London employer: ANSON MCCADE
Join a leading technology consultancy that excels in delivering high-impact engineering solutions within the defence sector. With a strong focus on employee growth and a collaborative work culture, you will have the opportunity to work on mission-critical data systems while enjoying flexible hybrid working arrangements across vibrant cities like Manchester, Bristol, London, and Newcastle. Our commitment to innovation and excellence ensures that you will be part of a team that values your contributions and supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Defence in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, or cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer - Defence in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with Python, SQL, and any cloud platforms you've worked with. We want to see how you can contribute to our mission-critical projects!
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 focus on high-impact engineering. Let us know what excites you about working in defence and complex environments.
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples where you've tackled challenging problems. We love seeing how you approach issues, especially in data-intensive applications. It’s all about demonstrating your analytical mindset!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and SQL. Be ready to discuss your experience with distributed computing frameworks like Spark or Databricks, as well as cloud platforms such as AWS, Azure, or GCP. The more confident you are in these areas, the better you'll impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you had to troubleshoot or improve production data systems. This will demonstrate your strong problem-solving abilities and attention to detail, which are crucial for a Data Engineer role.
✨Understand the Company’s Mission
Research the consultancy's work in defence and complex environments. Familiarise yourself with their projects and how they impact real-world outcomes. Showing that you understand their mission and values will help you stand out as a candidate who is genuinely interested in contributing to their goals.
✨Prepare for Collaborative Scenarios
Since this role involves working closely with engineers and clients, be ready to discuss your experience in collaborative, delivery-focused environments. Think of examples where you successfully worked in a team to deliver robust, maintainable systems. This will highlight your ability to thrive in a team-oriented setting.
