At a Glance
- Tasks: Design and build scalable data solutions while mentoring fellow engineers.
- Company: Dynamic tech company in Manchester focused on data-driven success.
- Benefits: Competitive salary up to £80k, remote work, and professional growth opportunities.
- Other info: Join a culture of continuous improvement and technical excellence.
- Why this job: Make a real impact in a collaborative environment with cutting-edge technologies.
- Qualifications: Experience in data engineering, cloud platforms, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
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 in Manchester employer: Rebel Recruitment
Join a forward-thinking company in Manchester that values innovation and collaboration, offering a dynamic work culture where data drives success. As a Senior Data Engineer, you'll enjoy the flexibility of remote working while having the opportunity to mentor others and influence engineering standards, all within a supportive environment that prioritises employee growth and technical excellence. With competitive salary packages and a commitment to continuous improvement, this role is perfect for those looking to make a meaningful impact in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Rebel Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Rebel Recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Rebel Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Rebel Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Rebel Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Rebel Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Rebel Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Rebel Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
