At a Glance
- Tasks: Design and build scalable data solutions while mentoring fellow engineers.
- Company: Join a collaborative tech company in Manchester focused on data-driven success.
- Benefits: Competitive salary up to £80k, remote work, and opportunities for professional growth.
- Other info: Enjoy autonomy and influence in a dynamic environment with career advancement potential.
- Why this job: Make a real impact by solving complex data challenges with modern technologies.
- Qualifications: Experience in data engineering, cloud platforms, and strong communication skills.
The predicted salary is between 80000 - 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.
- Help 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
Join a forward-thinking company in Manchester that values innovation and collaboration, 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 salaries 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud technologies. 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 your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our needs, and let your passion shine through!
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. It helps us understand your hands-on experience!
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 shows you’re keen on joining our awesome team at StudySmarter!
How to prepare for a job interview at Rebel Recruitment
✨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 knowledge of cloud-based data platforms and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex data engineering challenges you've tackled. Highlight your thought process and the impact of your solutions, as this will demonstrate your ability to lead and influence technical direction.
✨Emphasise Mentorship Experience
Since mentoring is a key part of the role, think about times when you've helped others grow. Be ready to discuss your approach to code reviews and how you've contributed to improving engineering standards within your team.
✨Communicate Clearly with Stakeholders
Practice explaining technical concepts in simple terms, as you'll need to work with both technical and non-technical stakeholders. Prepare to discuss how you've translated business requirements into scalable data solutions in previous roles.
