At a Glance
- Tasks: Join a dynamic team to build and evolve a cutting-edge data platform.
- Company: Disruptive FinTech investing heavily in data and technology.
- Benefits: Hybrid work, competitive salary, and a focus on professional growth.
- Other info: Diverse and inclusive culture welcoming all backgrounds and experiences.
- Why this job: Make a real impact in a fast-paced environment with innovative technologies.
- Qualifications: Experience with Databricks, Python, SQL/Spark, and strong data foundations.
The predicted salary is between 63000 - 77000 £ per year.
Permanent Manchester, United Kingdom Senior Data Engineer Manchester | Hybrid, ideally 2 days per week We’re working with a truly disruptive Fin Tech 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, Dev Ops or Systems Engineering backgrounds, but strong data foundations and hands-on Databricks experience are key.
The role You’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 for Databricks 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, Dev Ops 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 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, Power Shell 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.
Senior Data Engineer employer: Mirai Tech Recruitment
Join a mission-driven organisation in London or Manchester as the Head of Data Science, where your work will directly impact the lives of the people you serve. With a strong focus on employee growth and a collaborative culture, you'll lead a multidisciplinary team to harness data for meaningful advocacy, all while enjoying a competitive salary, generous leave, and hybrid working options. This is an exceptional opportunity to contribute to a public sector initiative that values diversity and inclusivity, making it a truly rewarding place to work.
