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Senior Data Engineer

senioroffice~$8.4K /moLondon, GBScore undefined/100today
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📊 Data Engineer: salaries and demand on the market
Stack
awscloudcloudformationdatabricksdbtdelta lakepysparkpythonsnowflakesparksqlterraform
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Description
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. 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. What you will be working on: * 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 they
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