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For Companies At a Glance
- Tasks: Design and build modern data pipelines for impactful digital services.
- Company: High-growth digital consultancy transforming the UK public sector.
- Benefits: Competitive salary, pension contributions, hybrid working, and generous annual leave.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Join a dynamic team and make a real difference with data-driven solutions.
- Qualifications: Strong experience in data engineering, SQL, and programming languages like Python.
The predicted salary is between 60000 - 75000 £ per year.
UK-Based | Hybrid Working
SC Clearable Required
Permanent
Meraki are working on behalf of a high-growth digital consultancy delivering mission-critical data platforms across the UK public sector. We’re looking for a Senior Data Engineer to design, build and operate modern data pipelines and analytics platforms that power secure, large-scale digital services. This is a hands-on, delivery-focused role within multidisciplinary agile teams. You’ll play a key part in enabling organisations to collect, process and use data effectively — supporting operational reporting, analytics and meaningful insight across complex environments. This role would suit someone who enjoys solving well-defined problems independently, applying strong engineering judgement, and contributing to continuous platform improvement — rather than being tied to one specific technology stack or cloud vendor.
The Role
- Design, build and maintain reliable data pipelines to ingest, transform and serve data from multiple sources
- Develop analytics-ready data models to support reporting and operational insight
- Support the full data lifecycle (retention, archiving, decommissioning) in line with governance requirements
- Apply data quality, testing and monitoring best practices
- Translate user and business needs into practical, well-engineered data solutions
- Contribute to shared data standards, documentation and data dictionaries
- Collaborate with cross-functional delivery teams to drive improved data outcomes
Technical Experience
You’ll bring strong commercial experience across several of the following:
- Modern data engineering patterns (batch and event-driven pipelines)
- Strong SQL and at least one data-focused programming language (e.g. Python)
- Data integration, transformation and orchestration tooling
- Analytical data platforms (data warehouses, lakehouse architectures)
- Applying DevOps and software engineering practices to data (CI/CD, version control, automated testing)
- Working across cloud platforms in a vendor-agnostic way
- Contributing to open-source tooling where appropriate
What We’re Looking For
- Operates confidently at senior level
- Comfortable working independently within defined delivery scopes
- Strong communicator — able to explain data concepts to both technical and non-technical stakeholders
- Collaborative, pragmatic and delivery-focused
- Comfortable in customer-facing environments
- Understands secure-by-design and government data principles
Security Clearance
Due to the nature of the work, candidates must:
- Be eligible for SC Clearance
- Have lived continuously in the UK for the past 5+ years
- Have the right to work in the UK without sponsorship
What’s on Offer
- Competitive salary with annual review
- Employer pension contribution starting at 5%, increasing with tenure
- Group life assurance
- Genuine hybrid working + home setup allowance
- 25 days annual leave
Senior Data Engineer in London employer: Virtual Hire Staffing
Contact Detail:
Virtual Hire Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, pipelines, and any analytics platforms you've built. 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 common data engineering questions and scenarios. Practice explaining your thought process and how you tackle problems, as this will demonstrate your strong engineering judgement and collaborative spirit.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our mission and values.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data pipelines, SQL, and any relevant programming languages like Python. We want to see how you can contribute to our mission!
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 needs. Don’t forget to mention your experience in collaborative environments and your problem-solving skills.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your work. This helps us understand your hands-on experience with data solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Virtual Hire Staffing
✨Know Your Data Engineering Stuff
Make sure you brush up on modern data engineering patterns, especially batch and event-driven pipelines. Be ready to discuss your experience with SQL and any data-focused programming languages like Python. The more specific examples you can provide about your past projects, the better!
✨Show Off Your Problem-Solving Skills
This role is all about solving well-defined problems independently. Prepare to share instances where you've tackled complex data challenges. Think about how you applied strong engineering judgement and contributed to platform improvements in your previous roles.
✨Communicate Like a Pro
As a Senior Data Engineer, you'll need to explain data concepts to both technical and non-technical stakeholders. Practice articulating your thoughts clearly and concisely. Maybe even run through some mock interviews with a friend to get comfortable with this.
✨Be Ready for Collaboration
This position involves working within multidisciplinary agile teams. Think of examples where you've collaborated effectively with cross-functional teams to drive improved data outcomes. Highlight your ability to work in customer-facing environments and how you’ve contributed to shared data standards.