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Data Engineer - Remote - Speciality Insurance - InsureTech - £85,000
Resumo da oferta
A growing tech-led company in the UK is seeking a Remote Data Engineer to build and maintain scalable data pipelines and models using Databricks. The ideal candidate will have over 5 years of experience, expertise in Databricks and DBT, and proficiency in Python and SQL. This role offers the chance to shape data engineering best practices in a collaborative environment.
Qualificações
- 5+ years' experience in Data Engineering.
- Strong hands-on skills with Databricks and DBT.
- Proficiency in Python and SQL.
Responsabilidades
- Build and maintain scalable data pipelines and models in Databricks.
- Work with Python and SQL to deliver high-quality solutions.
- Handle large, complex datasets across end-to-end projects.
Conhecimentos
Data Engineer - Remote - Speciality Insurance - InsureTech - £85,000
Afast-growing, tech-led companyis building a new data platform to support advanced analytics and machine learning. This is agreenfield opportunitywhere you’ll play a key role in shaping data engineering best practice within a small, collaborative team.
What You’ll Do
- Build and maintain scalabledata pipelinesandmodelsinDatabricks (Azure)andDBT
- Work withPythonandSQLto deliver high-quality solutions
- Handlelarge, complex datasetsacross end-to-end projects
- Collaborate with stakeholders in a dynamic, scale-up environment
What We’re Looking For
- 5+ years’ experiencein Data Engineering
- Strong hands-on skills withDatabricks + DBT(non-negotiable)
- Proficiency inPythonandSQL
- Proven ability to deliver significant, varied data projects
- Self-directed, motivated, thrives in lean teams
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.
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