Data Engineer

Perch Group are searching for a Data Engineer.

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 looking for a Data Engineer to support the development of our modern data platform and contribute to our transition toward metadata driven and configuration led engineering. This role is ideal for someone with strong fundamentals in data engineering who is ready to grow into more advanced automation focused work.

You will build and maintain data pipelines, contribute to reusable engineering patterns, and work alongside senior engineers to uplift automation, data quality, and delivery standards.

• Build, maintain, and enhance data pipelines using Azure Data Factory, Databricks, Python and T SQL.
• Apply parameterisation, configuration, and reusable components in ADF and Databricks where appropriate.
• Support the creation of metadata driven patterns by implementing components and contributing to framework evolution.
• Assist in developing and refining data models and data warehouse layers.
• Ensure pipelines are performant, reliable, and aligned with engineering and governance standards.

• Work closely with senior engineers, analysts, and architects to understand requirements and deliver robust, well designed solutions.
• Contribute to code reviews, documentation, and quality improvement initiatives.
• Participate in Dev Ops practices such as CI/CD, automated testing, and version control.

• Troubleshoot and resolve pipeline issues, ensuring stability and data accuracy.
• Monitor pipeline performance and help implement improvements.
• Support continuous optimisation and lifecycle management.

Does this sound like you?

• 3+ years T SQL including joins, transformations, stored procedures, and performance basics
• 3+ years Azure Data Factory, including pipeline development, parameter usage, and basic templates
• 3+ years Databricks experience (PySpark, Delta Lake, notebooks)
• 2+ years Python Experience
• Experience working with data warehouses and structured modelling concepts
• Strong understanding of ETL/ELT practices and data centric engineering

• Exposure to metadata driven or config driven engineering practices
• Basic PySpark optimisation or Delta Lake performance tuning
• Experience using Azure Dev Ops (repos, pipelines)
• Understanding of data governance, data quality tooling, or lineage concepts
• Experience in regulated environments or financial services

• £50,000 + up to 20% of your annual salary, paid as a bonus.
• This role can be based at either our Blackpool or Manchester office.
• 37.5 hours per week. We offer flexible working hours 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.

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.

PLEASE NOTE - As we are financial services company, we are required to run DBS and Credit Checks on all of our successful candidates. This information MUST be disclosed at the time of your initial screening call should you be invited to interview.