Overview

As a Data Engineer at HomeServe Finance, a pioneering startup of HomeServe, you will play a role in delivering and managing the data pipelines that deliver timely, accurate data to management and engineering teams. Providing actionable data, and analytics tools to business analysts and engineering teams to enable accurate, actionable information. This position offers a unique opportunity to be part of a new venture within a well-established international group, where you can bring cutting-edge financial solutions to the market and contribute to our rapid growth.

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 (extract, transform, load) 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
• Experience of Data Engineering using tools such as DBT, Spark, Python, AWS Athena, Presto, 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

Benefits

• Competitive Salary: Offering attractive compensation commensurate with experience and the market.
• Healthcare Coverage: Comprehensive private medical plan
• Retirement Plans: HomeServe Money pension plan with company matching to help you invest in your future.
• Paid Time Off: Generous vacation, sick leave, and holiday policies.
• Professional Development: Opportunities for professional growth and advancement, including access to training programs and workshops to enhance your skills.
• Flexible Work Arrangements: Remote work and flexible working hours to accommodate personal needs and productivity.