Data Migration Engineer jobs

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.

Could this be the next step in your career?

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…

• £65,000, + 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 recruitment@perchgroup.co.uk.

PLEASE NOTE - All new employees must undergo a full DBS and Credit Check upon acceptance of a job offer with Perch Group.

Job Types: Full-time, Permanent

Pay: £65,000.00 per year

Benefits:

• Company events
• Company pension
• Health & wellbeing programme
• Life insurance
• Sick pay
• Work from home

Application question(s):

• Are you willing to undergo a DBS and Credit Check in accordance with law and regulations?
• Please confirm your UK Right To Work status.

Experience:

• Azure Data Factory: 5 years (required)
• Databricks: 5 years (required)
• Data modelling: 5 years (required)

Work authorisation:

• United Kingdom (required)

Work Location: Hybrid remote in Blackpool FY4 5LW