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Permanent

Data Engineer

Leeds
money-bag £50,000-70,000 per annum
D24A0045E7EA7D4B8D6A43903746C987
Posted 4 days ago

OverviewPosition: Data Engineer

Location: Hybrid, London/Leeds/Walsall/Paris/Lyon

Type: Full-time

Compensation: £50-70K

Reporting to: Rémy Tinco, VP of engineering

About HomeServe FinanceWelcome to HomeServe Finance, the newest innovation under the globally recognised HomeServe banner. As a fresh venture, we aim to solve the problem of CO2 emissions created by home heating and cooling. Using our parent company\''s robust infrastructure and extensive reach, we will redefine the point-of-sale lending industry, making new renewable technology accessible and affordable to every homeowner. HomeServe Finance is dedicated to developing secure, accessible, and tailored financial solutions to meet the planet\''s need to transition away from fossil fuel home heating and accelerate the transition to efficient, renewable energy-powered homes. Joining us means not just a job but a chance to shape the future of finance and contribute to global carbon reduction targets. We value creativity, integrity, and a collaborative spirit and offer a platform to excel and grow within a dynamic environment where a lot remains to be built.

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 (extract, transform, load) scripts and code to ensure the ETL process performs optimally

Work with business teams to map 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

Required Qualifications

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

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

Flexible Work Arrangements: Remote work and flexible working hours

Seniority level

Entry level

Employment type

Full-time

Industries

IT Services and IT Consulting

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