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For Companies At a Glance
- Tasks: Design and build secure data solutions to support UK national security.
- Company: Join MI5, the UK's Security Service, in a vital role.
- Benefits: Competitive salary, career development, and a chance to make a difference.
- Other info: Collaborative environment with opportunities for mentorship and growth.
- Why this job: Be part of a team that protects the nation using cutting-edge technology.
- Qualifications: Experience in data engineering and familiarity with Agile practices.
The predicted salary is between 40000 - 50000 £ per year.
Location: London
Use data engineering to help keep the UK safe. We're looking for Data Engineers with hands-on experience designing and building data solutions to join multidisciplinary product teams delivering secure, high impact systems at the heart of UK national security.
The role
As a Data Engineer, you'll sit within a multidisciplinary product team, working alongside software engineers, data scientists, product owners, business analysts and delivery managers. You'll design, build and operate secure data applications and products, using a mix of modern cloud technologies, on-premise platforms and long established systems. You'll follow Agile and DevSecOps principles to deliver reliable solutions that support MI5's critical operations.
What you'll be doing
- Design and implement moderate to complex data pipelines and data flows
- Build and manage data integration solutions across multiple sources
- Support analytics, business intelligence and investigative capabilities
- Work closely with users to deliver new features and improve existing products
- Identify and fix defects, creating automated tests to maintain assurance
- Take ownership of complex problems, breaking them down and prioritising delivery
- Apply modern engineering approaches, including CI/CD and Agile practices
- Share knowledge, mentor colleagues and help define what good looks like
- Contribute to Communities of Practice and cross-organisation initiatives
The technology
Our tech stacks vary by product and may include:
- SQL and NoSQL databases
- Commercial and bespoke platforms
- Data processing and integration tools such as AWS Glue, Apache Spark, Airbyte, NiFi, Fivetran or similar
- Programming languages including Python, Java, SQL, Scala, PL/SQL or SAS
- Data and analytics tools such as Jupyter, Kibana, SAS and AWS services
You'll work with a wide range of data models and formats, from structured and unstructured data to geo-enabled and graph-based models.
Who we're looking for
You'll be someone who can demonstrate:
- Experience delivering data engineering solutions within a development team
- Confidence designing and implementing data integration and processing pipelines
- Comfort learning and using a wide range of technologies
- Experience working with Agile and CI/CD approaches
- An understanding of good design patterns and secure engineering practices
- Strong communication skills with both technical and non-technical colleagues
- A willingness to support and mentor others in an inclusive environment
Interested? Apply via Civil Service Jobs to see full details, including the selection process and security requirements.
Data Engineer - MI5 - The Security Service - HEO in London employer: Government Digital & Data
Contact Detail:
Government Digital & Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - MI5 - The Security Service - HEO in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at MI5 on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data pipelines and integration solutions. Practise explaining complex concepts in simple terms – it’ll impress both technical and non-technical folks!
✨Tip Number 3
Show off your projects! If you've built any data solutions or worked on relevant tech stacks, be ready to discuss them. Bring examples that highlight your problem-solving skills and how you’ve applied Agile practices.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Data Engineer - MI5 - The Security Service - HEO in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role at MI5. Highlight your hands-on experience with data solutions and any relevant technologies you've worked with. 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 data engineering and how you can contribute to keeping the UK safe. Be sure to mention your experience with Agile and CI/CD practices, as these are key for us.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to design and implement data pipelines or integration solutions.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you'll find all the details about the selection process and security requirements there.
How to prepare for a job interview at Government Digital & Data
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like SQL, Python, and AWS services. Be ready to discuss your hands-on experience with these tools and how you've used them to build data solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in previous roles. Break down your thought process and explain how you prioritised tasks and delivered solutions, especially in an Agile environment.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You'll need to work closely with both technical and non-technical colleagues, so being able to bridge that gap is crucial. Think of examples where you've successfully communicated complex ideas.
✨Emphasise Team Collaboration
Highlight your experience working in multidisciplinary teams. Discuss how you've collaborated with software engineers, data scientists, and other roles to deliver projects. Mention any mentoring experiences to show your willingness to support others.