Burns Sheehan
Senior Data Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Data Engineer
Location: London Bridge, three days per week in the office
Salary: £75,000 to £85,000 plus up to 10% bonus
Technology: Python, AWS, Terraform, Databricks, PySpark, SQL
I am working with an established property data and technology business that is looking for a Senior Data Engineer to join a product-focused engineering team in London.
The company provides property data, valuation and risk products used by some of the UK’s largest mortgage lenders and organisations across financial services, insurance, housebuilding and property technology.
This is not a traditional internal reporting or dashboard-focused data role.
The Data Services team builds customer-facing products that place trusted property information at the heart of commercially important decisions. The pipelines and infrastructure you work on will directly support products used by hundreds of customers and contribute to a significant revenue stream for the business.
About the Role
As a Senior Data Engineer, you will take ownership of the architecture, development and ongoing improvement of scalable data products and pipelines.
You will work across the data journey, from databases and processing platforms through to APIs and customer-facing applications, collaborating closely with software engineers, product managers, analysts and security teams.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Architecting and improving robust, scalable data pipelines
- Building maintainable and testable Python services
- Managing cloud infrastructure through Terraform and Infrastructure as Code
- Developing customer-facing data products and APIs
- Improving the performance, reliability, observability and security of the platform
- Working with Databricks, Delta Lake and Lakehouse architecture
- Reviewing code and helping raise engineering standards across the team
- Identifying opportunities to improve the platform without waiting to be directed
- Translating complex technical decisions for product and commercial stakeholders
What We Are Looking For
- Strong commercial Python experience
- Experience building production data pipelines and platforms
- AWS or strong transferable cloud experience
- Commercial exposure to Terraform, CloudFormation or another Infrastructure as Code tool
- Experience with Databricks, PySpark, Delta Lake, dbt, Snowflake or a comparable platform
- Strong SQL knowledge
- An understanding of software engineering principles, testing and code quality
- Evidence that you have improved or transformed systems, rather than simply maintained them
- An interest in building data products used directly by customers
- The ability to work from the London Bridge office three days per week
Get help with your application
Your very own career expert that helps elevate your application to the next level.
You do not need to be a Terraform specialist, and Databricks experience is desirable rather than an absolute requirement.
They are particularly interested in Python-focused data engineers, data platform engineers and software engineers who have moved into data-intensive platform work.
The strongest candidates will be able to explain what they improved, why it mattered and what measurable impact their work had on customers, colleagues or the wider business.
The role offers a rare opportunity to work on commercially important data products rather than internal reporting, with broad ownership across data pipelines, cloud infrastructure, APIs and product delivery.
Please apply or message me directly for more information.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location