Data Engineer

Perch Group; Lancashire; Hybrid; GBP 40,000 - 45,000; Full time

Benefits offered by this job

Up to 20% bonus

Hybrid work

Blackpool office

Formal professional qualifications

Wellbeing & development

Job summary

Perch Group in the United Kingdom is seeking a Data Engineer to join our data platform team. You will build and maintain data pipelines using Azure Data Factory and Databricks, contributing to reusable pattern development and automated, governance‑aware delivery.

You will work with senior engineers to uplift data quality, modelling, and data warehouse layers while participating in CI/CD and DevOps practices.

Qualifications

• 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.
• Understanding of data governance, data quality tooling, or lineage concepts.
• Experience in regulated environments or financial services.

Responsibilities

• 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 DevOps 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.

Skills

T SQL

Azure Data Factory

Databricks

Python

Data Warehouses

ETL/ELT

Metadata/Config Driven Eng

Delta Lake / PySpark

Data Governance / Data Quality

Regulated Environments / FinServ

Tools

Azure Data Factory

Databricks

Delta Lake

PySpark

Job description

Perch are recruiting 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.

Could this be the next step in your career?

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.

So, what will your day-to-day look like?

• 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 DevOps practices such as CI/CD, automated testing, and version control.

Operational Support

• 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.
• Understanding of data governance, data quality tooling, or lineage concepts.
• Experience in regulated environments or financial services.

The Application Timeline

• A first stage video call with the internal recruitment team (15 minutes)
• A technical test held over Zoom (up to 2 hours)
• A face-to-face interview with the hiring manager (1 hour)

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…

• £40,000 - £45,000 DOE, + up to 20% of your annual salary, paid as a bonus.
• This role is hybrid and based at our Blackpool 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.

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 [e-mail].

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