Senior Data Engineer

Senior Data Engineer

2026-09-25T00:00:00

Location: Abbey Hey, Greater Manchester, GB, M18 8

Employment Type: Permanent

Start Date: 2026-12-25T07:01:39.56

Job Description:

We're working with a truly disruptive FinTech that is continuing to invest heavily in its data and technology capability. With a growing Data Science function and around 3-5TB of new data being processed each week, they're looking for a Senior Data Engineer to help build and evolve the platform behind it.

This isn't necessarily a traditional Data Engineering profile. They're open to people from Data Engineering, Platform, DevOps or Systems Engineering backgrounds, but strong data foundations and hands-on Databricks experience are key.

The role

You will:

• Work within a cross-functional team, helping continue the move towards a Databricks-native environment and building reliable, scalable data and platform capabilities.


• Work across:




• Databricks, Python, SQL and Spark


• High-volume data ingestion and transformation


• Production ETL/ELT pipelines APIs, SFTP/FTPS and automated data retrieval


• CI/CD, automated testing and deployment


• Platform reliability, monitoring and troubleshooting


• Azure infrastructure, security and governance


• Data Science, ML and increasingly agentic workflows

The focus is on production engineering rather than building AI models, creating the foundations that allow Data Science and automated workflows to operate effectively.

What we're looking for

• Databricks experience is essential.


• Strong Python, SQL/Spark and ETL/ELT experience.


• Good knowledge of databases and data warehousing, including dimensional/Kimball principles.


• An understanding of platform, DevOps and systems engineering.


• Genuine technical curiosity; interest in new technology, experimenting with AI/deep learning, or side projects outside your day job is valued.


• A STEM background is beneficial but not essential.

Nice to have

• Databricks Asset Bundles, Lakeflow Jobs/Pipelines, Unity Catalog, Volumes and/or Lakebase


• Agentic or AI-enabled engineering workflows, LLM integrations or AI coding tools


• Playwright/Selenium


• Docker/Kubernetes


• Terraform/Bicep


• Agile development environments


• Scala, PowerShell and YAML

The team

You'll join a highly technical, collaborative team working closely with a growing Data Science function. Ideally, you'll spend around two days per week in the Manchester office, but it's an output-driven environment with plenty of autonomy.

Diversity & Inclusion

We welcome applications from people of all backgrounds and experiences. If the role interests you but you don't tick every box, we'd still encourage you to apply. Different experiences, perspectives and routes into technology are valued.

#s1-Gen

PermanentManchester, United KingdomSenior Data Engineer Manchester | Hybrid, ideally 2 days per weekWe're working with a truly disruptive FinTech that is continuing to invest heavily in its data and technology capability.With a growing Data Science function and around 3-5TB of new data being processed each week, they're looking for a Senior Data Engineer to help build and evolve the platform behind it.This isn't necessarily a traditional Data Engineering profile. They're open to people from Data Engineering, Platform, DevOps or Systems Engineering backgrounds, but strong data foundations and hands-on Databricks experience are key.The roleYou'll work within a cross-functional team, helping continue the move towards a Databricks-native environment and building reliable, scalable data and platform capabilities.You'll be working across:Databricks, Python, SQL and Spark High-volume data ingestion and transformation Production ETL/ELT pipelines APIs, SFTP/FTPS and automated data retrieval
CI/CD, automated testing and deployment Platform reliability, monitoring and troubleshooting Azure infrastructure, security and governance Data Science, ML and increasingly agentic workflows The focus is production engineering rather than building AI models, creating the foundations that allow Data Science and automated workflows to operate effectively.What we're looking forDatabricks is the big one. Alongside that, we're looking for strong Python, SQL/Spark and ETL/ELT experience, good knowledge of databases and data warehousing, including dimensional/Kimball principles, plus an understanding of platform, DevOps and systems engineering.They also value genuine technical curiosity. If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they'll want to hear about them.A STEM background is beneficial, but not essential.Nice to haveDatabricks Asset Bundles, Lakeflow Jobs/Pipelines, Unity Catalog, Volumes and/or Lakebase Agentic or
AI-enabled engineering workflows, LLM integrations or AI coding tools Playwright/Selenium Docker/Kubernetes Terraform/Bicep Agile development environments Scala, PowerShell and YAML The teamYou'll join a highly technical, collaborative team working closely with a growing Data Science function. Ideally you'll spend around two days per week in the Manchester office, but it's an output-driven environment with plenty of autonomy.Diversity & InclusionWe welcome applications from people of all backgrounds and experiences. If the role interests you but you don't tick every box, we'd still encourage you to apply. Different experiences, perspectives and routes into technology are valued.