Unlock Career Growth as a Data Engineer

3 weeks ago


London, Greater London, United Kingdom HomeServe Finance Full time

At HomeServe Finance, we are revolutionizing the point-of-sale lending industry by making renewable technology accessible and affordable to every homeowner. As a pioneering startup under the globally recognized HomeServe banner, we aim to solve the problem of CO2 emissions created by home heating and cooling.

We value creativity, integrity, and a collaborative spirit. If you want to significantly impact a dynamic environment where everything remains to be built, join us as a Data Engineer and contribute to our rapid growth.

Job Summary

We are seeking an experienced Data Engineer to play a key role in delivering and managing data pipelines that deliver timely, accurate data to management and engineering teams. Providing actionable data and analytics tools to business analysts and engineering teams will enable accurate, actionable information.

This position offers a unique opportunity to bring cutting-edge financial solutions to the market and be part of a new venture within a well-established international group. Our cloud-native stack includes AWS, Terraform, Docker, DBT, and Python technologies.

Key Responsibilities
  • Implement data flows to connect operational systems, data for analytics, and business intelligence (BI) systems
  • Re-engineer manual data flows to enable automation, scaling, and repeatable use
  • Write ETL scripts and code to ensure the ETL process performs optimally
  • Work with business teams to map business requirements to available data and propose opportunities based on existing and potential data pipelines
  • Develop business intelligence reports that can be reused
  • Build accessible data for analysis
  • Build tooling to enable AI and ML pipelines with data

As a Data Engineer at HomeServe Finance, you will work closely with cross-functional teams to design, develop, and deploy data pipelines and analytics solutions. Your expertise in data engineering will enable us to make informed business decisions and drive growth.

Requirements
  • Experience of Data Engineering using tools such as DBT, Spark, Python, AWS Athena, Presto, and AWS Quicksight
  • Bachelor's degree in Computer Science, Statistics, Engineering, Science, or a related field
  • Experience with languages such as SQL, Python, and similar
  • Great numerical and analytical skills

We offer a competitive salary of £55-75K per annum, depending on experience, and a comprehensive benefits package including private medical plan, retirement plans, paid time off, professional development opportunities, and flexible work arrangements.



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