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- Tasks: Drive automation and create innovative data frameworks to enhance our data platform.
- Company: Join Perch Group, a leader in ethical debt resolution through technology.
- Benefits: Competitive salary, bonus potential, flexible working, and opportunities for professional growth.
- Other info: Dynamic team culture with a commitment to diversity and inclusion.
- Why this job: Make a real impact by revolutionising data engineering in a supportive environment.
- Qualifications: 5+ years in T-SQL, ADF, and Databricks with a focus on automation and frameworks.
The predicted salary is between 65000 - 78000 ÂŁ per year.
Perch are looking for a Senior Data Engineer to drive automation and metadata-driven frameworks. At Perch Group, our vision is clear: to lead the UK debt purchase and collection industry by harnessing cutting-edge technology to drive ethical, efficient, and data-driven debt resolution. Our annual mission is to empower hundreds of thousands of customers to positively engage with and resolve their outstanding debts. We do this through an empathetic and customer-centric approach that is at the heart of our success.
We’re hiring a Senior Data Engineer to drive the next evolution of our data platform by introducing metadata‑driven, configurable, and repeatable engineering frameworks. This role is for someone who has outgrown building pipelines one at a time and is ready to industrialise how a modern data platform operates. Your focus will be on designing patterns, frameworks, and automation that fundamentally change our speed and quality of delivery. This is not a “pipeline factory” role - it’s an engineering leadership position for someone who can solve problems at the framework and architecture level.
So, what will your day-to-day look like?
- Automation & Engineering Frameworks
- Design and implement metadata‑driven and config‑driven frameworks that replace one‑off pipelines with reusable, scalable patterns.
- Develop templates, orchestration patterns, and reusable components that minimise manual engineering effort.
- Introduce engineering standards that prioritise automation, maintainability, and lifecycle governance.
- Core Engineering Delivery
- Build and optimise robust ingestion, transformation, and publishing pipelines using ADF, Databricks (PySpark/Delta Lake) and T‑SQL — with automation principles embedded from the start.
- Assist in maturing the enterprise data warehouse architecture and data models.
- Ensure all designs align with best practices around performance, optimisation, logging, monitoring, and quality.
- Collaboration & Leadership
- Partner with architects and product teams to identify high‑value automation opportunities.
- Mentor engineers and uplift engineering discipline through coaching, patterns, and code reviews.
- Strengthen DevOps, CI/CD, and automated testing approaches for data workloads.
Does this sound like you?
Essential
- 5+ years advanced T‑SQL with strong optimisation, dynamic SQL, and engineering‑oriented design patterns.
- 5+ years ADF: parameterisation, custom frameworks, and template‑based orchestration (not just building pipelines).
- 5+ years Databricks including PySpark optimisation, Delta Lake architecture, and DABs.
- Demonstrable experience building metadata‑driven or config‑driven frameworks — not just talking about them.
- 5+ years data modelling, including designing dimensional models that support enterprise‑scale consumption.
- End‑to‑end delivery experience across data warehouse or data platform programmes.
Desirable
- Experience with dynamic schema detection, inferred metadata processing, or multi‑tenant ingestion patterns.
- Advanced orchestration approaches (Databricks Workflows, Functions, event‑driven patterns).
- Practical CI/CD experience using Azure DevOps for data engineering (not just familiarity).
- Experience in regulated industries where quality, lineage, and governance matter.
- Understanding of data management frameworks (DAMA, DCAM, etc.).
The Application Timeline
- A first stage video call with the internal recruitment team (15 minutes)
- A technical test (up to 2 hours)
- A face-to-face interview with the hiring manager (1 hour)
Typically, the average successful applicant will be within this timeline for 2-3 weeks. Please note we will close this role once we have enough applications for the next stages therefore you should submit your application asap to avoid any disappointment. If you do not receive a response after 3 weeks of applying, please assume you have been unsuccessful as we may experience a high volume of applications.
Why you should be EXCITED to apply…
- ÂŁ65,000, + up to 20% of your annual salary, paid as a bonus.
- This role can be based at our Blackpool or Manchester office.
- 37.5 hours per week. We offer flexible and hybrid working between our core hours of 8am- 6pm, Monday to Friday.
- The opportunity to complete formal qualifications and learn on the job in a successful, growing organisation.
- And many more benefits to support your wellbeing and professional development.
So, what are you waiting for? Submit your application today.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have any questions or suggestions of how we can assist you in your application due to disability or personal reasons, please email.
PLEASE NOTE - All new employees must undergo a full DBS and Credit Check upon acceptance of a job offer with Perch Group.
Senior Data Engineer in Manchester employer: Perch Group
Contact Detail:
Perch Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Perch. LinkedIn is a goldmine for this. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for that technical test like it’s the final exam! Brush up on your T-SQL, ADF, and Databricks skills. We want to see you shine, so practice building those metadata-driven frameworks and automation patterns.
✨Tip Number 3
During the interview, don’t just talk about your experience—show your passion for data engineering! Share specific examples of how you’ve implemented automation and improved processes. We love hearing about real-world impacts.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of our community from the get-go. Don’t wait too long; we’re excited to meet you!
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with metadata-driven frameworks and automation, as these are key to what we're looking for. Use specific examples that showcase your skills in T-SQL, ADF, and Databricks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission at Perch. Mention any relevant projects or achievements that demonstrate your ability to drive automation and improve data processes.
Showcase Your Problem-Solving Skills: In your application, don't just list your skills—show us how you've used them to solve real problems. Talk about specific challenges you've faced in previous roles and how you approached them, especially in terms of designing frameworks and optimising data pipelines.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly. Plus, it shows us you're serious about joining our team at Perch. Don't wait too long—apply today!
How to prepare for a job interview at Perch Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in ADF, Databricks, and T-SQL. Brush up on your metadata-driven frameworks and be ready to discuss how you've implemented them in past projects. This role is all about engineering leadership, so show them you can think at the architecture level.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Be specific about the frameworks and patterns you designed to improve efficiency. They want to see that you can not only build pipelines but also innovate and lead.
✨Emphasise Collaboration and Mentorship
This position involves partnering with architects and mentoring other engineers. Share experiences where you’ve uplifted team performance or introduced best practices. Highlight your ability to work cross-functionally and how you’ve contributed to a positive team culture.
✨Prepare for Technical Tests
Since there’s a technical test involved, practice coding challenges related to data engineering. Focus on automation principles and ensure you can demonstrate your knowledge of CI/CD processes. Being prepared will help you feel more confident during the interview.