At a Glance
- Tasks: Design and build scalable data solutions while mentoring fellow engineers.
- Company: Dynamic tech company in Manchester with a focus on data-driven success.
- Benefits: Competitive salary up to £80k, remote work, and opportunities for professional growth.
- Other info: Join a culture of continuous improvement and technical excellence.
- Why this job: Make a real impact in a collaborative environment using modern technologies.
- Qualifications: Experience in data engineering, cloud platforms, and strong communication skills.
The predicted salary is between 70000 - 80000 £ per year.
Location: Manchester
Working: Remote
Salary: Up to £80k
Are you a Data Engineer who enjoys solving complex technical challenges while helping others grow? We're looking for a Senior Data Engineer to play a key role in shaping and delivering scalable, reliable, and high-performing data solutions that power decision-making across the business. This is an opportunity to combine deep technical expertise with leadership, working at the heart of a growing data function where your ideas, experience, and technical judgement will have a genuine impact.
You'll be responsible for designing and building robust data pipelines, data models, and warehouse solutions while collaborating closely with analytics, product, and platform teams. You'll also act as a mentor to other engineers, helping to establish best practices, improve engineering standards, and drive a culture of quality and continuous improvement. This role is ideal for someone who enjoys remaining hands-on while taking ownership of larger initiatives, influencing technical direction, and helping teams deliver complex projects successfully.
What you'll be doing:
- Design and maintain scalable data models and semantic layers.
- Build reliable batch and streaming data pipelines.
- Ensure data is accurate, trusted, and readily available for business users.
- Lead the delivery of complex data engineering projects, working across multiple teams to solve challenging problems and improve the performance, reliability, and cost efficiency of our data platforms.
- Work with modern cloud technologies to optimise warehouse and lakehouse environments, improve data governance and security, and establish engineering standards that enable the team to scale effectively.
- Mentor colleagues through code reviews, technical coaching, and knowledge sharing, helping to raise capability across the wider engineering team.
What we're looking for:
- Strong experience in modern data engineering practices, including data modelling, ETL/ELT development, orchestration frameworks, cloud-based data platforms, and data quality management.
- Comfortable working with technologies such as dbt, Airflow, PostgreSQL, cloud warehouses or lakehouses, and modern data architecture patterns.
- Enjoys ownership, takes pride in building reliable solutions, and can balance technical excellence with practical delivery.
- A strong communicator who can work effectively with both technical and non-technical stakeholders and help translate business requirements into scalable data solutions.
Why join us?
This is an opportunity to join a collaborative environment where data is central to business success. You'll have the autonomy to solve meaningful problems, influence engineering standards, work with modern technologies, and help shape the future of the data platform while continuing to develop your own technical and leadership skills. If you're looking for a role where you can combine hands-on engineering with technical leadership and make a measurable impact, we'd love to hear from you.
Senior Data Engineer employer: Rebel Recruitment Limited
Join a forward-thinking company in Manchester that values collaboration and innovation, offering a remote working environment that promotes work-life balance. As a Senior Data Engineer, you'll not only tackle complex technical challenges but also mentor fellow engineers, fostering a culture of continuous improvement and professional growth. With competitive salary packages and the opportunity to work with cutting-edge technologies, this role is perfect for those looking to make a significant impact while advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. Building relationships can lead to job opportunities that aren’t even advertised!
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects or contributions to open-source work. This gives potential employers a tangible sense of your capabilities and how you tackle complex challenges.
✨Ace the Interview
Prepare for technical interviews by brushing up on your data engineering concepts and tools like dbt and Airflow. Practice coding challenges and be ready to discuss your past projects in detail. Confidence and clarity can really set you apart!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Senior Data Engineer
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 modelling, ETL/ELT development, and any cloud technologies you've worked with. We want to see how you can bring value to our team!
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 mission at StudySmarter. Don’t forget to mention your leadership experience and how you’ve mentored others in the past.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data pipelines or optimising data platforms, we love seeing real-world examples of your work. This helps us understand your hands-on experience and problem-solving skills.
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, it shows us you’re genuinely interested in joining the StudySmarter team!
How to prepare for a job interview at Rebel Recruitment Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like dbt, Airflow, and PostgreSQL. Brush up on your data modelling and ETL/ELT development skills, as you’ll likely be asked to discuss your experience with these tools during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of complex data engineering challenges you've faced and how you solved them. This is your chance to demonstrate your technical judgement and how you can influence the direction of projects, so have a few stories ready that highlight your hands-on experience.
✨Emphasise Your Mentorship Experience
Since this role involves mentoring other engineers, be ready to talk about your experience in coaching or leading teams. Share examples of how you've helped others improve their skills or established best practices, as this will show your leadership potential and commitment to continuous improvement.
✨Communicate Clearly with Stakeholders
Practice explaining complex technical concepts in simple terms, as you’ll need to work with both technical and non-technical stakeholders. Think of examples where you successfully translated business requirements into scalable data solutions, showcasing your ability to bridge the gap between tech and business.
