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For Companies At a Glance
- Tasks: Design and build scalable data pipelines, shaping a modern data platform.
- Company: Innovative company focused on transforming data capabilities.
- Benefits: Up to ÂŁ46,000 salary, remote work, and strong learning opportunities.
- Why this job: Make a real impact by influencing data strategy and architecture.
- Qualifications: Strong SQL skills and experience with Azure Synapse required.
- Other info: Join a curious team that values improvement and collaboration.
The predicted salary is between 36000 - 46000 ÂŁ per year.
Remote (UK) | 1–2 days per month in the South Manchester area. Up to £46,000 + flexibility for standout candidates.
If you’re a Data Engineer who wants more than just maintaining pipelines, this is a chance to shape something from the ground up. This role sits at the heart of a business investing heavily in its data capability. They’re moving away from reactive reporting towards a modern, insight-led platform and they need someone who wants to be part of that journey, not just observe it.
The Opportunity
You’ll join at a pivotal moment. The current data platform is being rebuilt, transitioning from legacy and mixed approaches into a modern, cloud-first architecture built on Azure Synapse and a medallion (bronze–silver–gold) design. This isn’t a “keep the lights on” role.
You’ll be:
- Designing and building scalable data pipelines from scratch
- Shaping how data is structured, governed, and used across the business
- Influencing technical direction and bringing in better ways of working
- Helping the organisation move towards predictive and insight-driven decision making
You’ll have genuine ownership and the space to challenge existing approaches and introduce best practice.
What You’ll Be Doing
- Building and optimising data pipelines using Azure Synapse (pipelines and notebooks)
- Writing and maintaining robust SQL, including complex stored procedures
- Designing and implementing modern data warehouse architecture (medallion model)
- Ensuring data quality, validation, and reliability across the platform
- Integrating data from APIs and multiple internal sources
- Collaborating with stakeholders to turn data into something genuinely useful
What We’re Looking For
You don’t need to tick every box, but there are a few things that really matter:
Must-have:
- Strong SQL skills, including writing advanced stored procedures
- Hands-on experience with Azure Synapse (pipelines and notebooks)
- Experience building or working within modern data warehouse architectures
- Ability to get up and running quickly without heavy onboarding
Nice to have:
- Python, PySpark or Spark experience
- Exposure to APIs and external data integration
- Experience working in evolving or transforming data environments
Most importantly, you’ll be someone who:
- Wants to improve and evolve things, not just maintain them
- Is comfortable challenging existing approaches constructively
- Enjoys solving problems and taking ownership
Why This Role?
There are plenty of Data Engineer roles out there. This one stands out because of the impact and trajectory.
- Build, not maintain – genuine opportunity to shape a modern data platform
- Influence – your ideas and approach will matter from day one
- Growth – strong focus on learning, with access to training and new technologies
- Variety – a mix of engineering, problem-solving, and collaboration
- Flexibility – remote-first, with occasional in-person team time
You’ll also be joining a team that values curiosity, improvement, and doing things properly rather than just quickly.
Location & Flexibility
- Remote-first role across the UK
- 1–2 days per month in the Manchester area
- Open to candidates across the North West, and beyond
A Note on Fit
This role won’t suit someone looking for routine, maintenance-only work. It will suit someone who wants to:
- Build
- Improve
- Challenge
- And leave things better than they found them
If you’re looking for a role where you can genuinely influence a data platform and grow with it, this is well worth a conversation.
Data Engineer employer: Tilt Recruitment
Contact Detail:
Tilt Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure Synapse and SQL. 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 practising common data engineering questions and scenarios. Think about how you would approach building scalable data pipelines or improving existing processes, and be ready to share your ideas.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented Data Engineers who want to make an impact. Don’t hesitate to reach out if you have any questions or need guidance during your job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your strong SQL skills in your application. We want to see examples of your advanced stored procedures and how you've used SQL to solve real problems.
Talk About Your Azure Experience: If you've got hands-on experience with Azure Synapse, let us know! Share specific projects where you've built or optimised data pipelines, as this is a key part of the role.
Demonstrate Your Problem-Solving Mindset: We love candidates who enjoy tackling challenges. In your application, mention instances where you've improved processes or introduced new ways of working that made a difference.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Tilt Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and Azure Synapse experience. Be ready to discuss specific projects where you've built data pipelines or worked with modern data warehouse architectures. The more detailed examples you can provide, the better!
✨Show Your Problem-Solving Skills
Prepare to share instances where you've faced challenges in data engineering and how you overcame them. This role is all about improving and evolving processes, so demonstrating your ability to think critically and creatively will set you apart.
✨Understand the Business Impact
Research the company’s current data initiatives and be prepared to discuss how your work can contribute to their shift towards an insight-led platform. Showing that you understand the bigger picture will highlight your genuine interest in the role.
✨Be Ready to Challenge Ideas
This position values constructive feedback and innovative thinking. Think of a few suggestions or improvements you could propose based on your past experiences. Being able to articulate these ideas will demonstrate your proactive mindset and willingness to take ownership.