
Senior Data Engineer
Cutover
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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Salary
💰 £70,000 - £80,000 per year
Job Level
About the role
- Evolve our data pipelines to scale reliably as we onboard an increasing number of clients.
- Design, build, and maintain robust ETL/ELT processes using Fivetran, dbt, and AWS-native tools.
- Work closely with our cloud and engineering teams to recommend and implement software that supports AI and LLM use cases on our data lake.
- Integrate data from a wide range of systems (product, operational, and third-party) into a trusted analytics layer.
- Partner with stakeholders across the company to understand data needs and deliver clear, usable data models and insights.
- Ensure data quality, reliability, and performance across our warehouse and analytics stack.
Requirements
- A strong interest in data engineering and a passion for collecting, storing, transforming, and modeling data for real-world use.
- Experience transforming data so it can be consumed by stakeholders across product, operations, and leadership.
- Approximately 2–4 years of experience in a data engineering or analytics engineering role.
- Hands-on experience with Python, PostgreSQL and Amazon Redshift.
- Experience working with AWS, dbt, and modern ELT tools.
- Comfort learning and adopting new technologies for data collection, transformation, and visualization.
- Experience pulling data from multiple sources and making it available in tools like Looker.
Benefits
- Share Options as part of compensation package.
- 25 days of PTO per year + public holidays.
- 3 volunteer days for any charitable/voluntary cause.
- Private health insurance package.
- Aviva pension scheme.
- Work from home stipends.
- Personal learning and development budget through Learnerbly.
- Globally consistent parental leave approach.
- Employee Referral Scheme.
- Multiple mental health initiatives including subsidized therapy sessions and subscriptions to well-being platforms.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTdata modelingdata transformationdata qualityPythonPostgreSQLAmazon RedshiftFivetrandbt
Soft Skills
collaborationcommunicationproblem-solvingstakeholder engagementanalytical thinking