At a Glance
- Tasks: Design and build scalable data pipelines for national security projects.
- Company: Leading cyber and defence organisation focused on impactful data solutions.
- Benefits: Competitive salary, bonus, strong benefits, and hybrid working.
- Other info: Opportunity for mentorship and career growth in a dynamic environment.
- Why this job: Join a mission-driven team and make a difference in national security.
- Qualifications: Experience in Data Engineering with skills in Python, SQL, and ETL tools.
The predicted salary is between 50000 - 70000 £ per year.
Are you the right applicant for this opportunity? Find out by reading through the role overview below.
Data Engineer – National Security
London (Hybrid)
£50,000 – £70,000 + package
Working with a leading cyber and defence organisation delivering high-impact data solutions across national security environments. They're looking for Data Engineers to build scalable, production-grade data platforms that support critical decision-making.
The Role
You'll sit at the core of data delivery, designing and building robust data pipelines and platforms used across complex, secure environments.
Key responsibilities:
- Design, build and maintain scalable ETL / ELT data pipelines
- Develop and optimise data integration and ingestion frameworks
- Model data structures, flows and architectures to support analytics and operational use cases
- Implement data storage solutions across cloud and on-prem environments
- Apply DataOps / software engineering best practices for deployment and reliability
- Ensure strong data governance, metadata management and security controls
What they're looking for:
- Strong experience in Data Engineering (not just analysis)
- Hands-on with: Python, SQL, ETL / data pipeline tooling
- Experience working with large, complex datasets
- Understanding of data modelling, orchestration and data lifecycle management
- Exposure to cloud platforms (AWS)
- Mentoring or leadership experience a plus (for more senior hires)
Package
£50,000 – £70,000 base Bonus + strong benefits package Hybrid working (London-based)
To hear more get in touch with Connor Smyth at Anson McCade. Please click on the apply button to read the full job description.
Data Engineer in Westminster employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Westminster
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We think you need these skills to ace Data Engineer in Westminster
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!
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✨Brush Up on Your Statistics
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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
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✨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.
