Live opening · Posted 8 days ago

Senior Data Engineer

hireful · London, England, United Kingdom (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 8 days ago
Companyhireful
LocationLondon, England, United Kingdom (Remote)
Work modeYes
SkillsPython, AWS, Azure
SourceLinkedin
ListedPosted 8 days ago

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About the role

Description supplied by the original job listing.

Job AdvertFast-growing UK software product business (400+ staff, globally), serving hundreds of enterprise customers worldwide, are looking for a Senior Data Engineer to help shape the future of its data platform.
Apply now, read the job details by scrolling down Double check you have the necessary skills before sending an application.
You'll take ownership of building scalable data solutions in Databricks primarily, establishing a single source of truth, and enabling trusted, self-service access to data across the business.Location: UK, remote with very occasional visits to the office in London.
Salary: Up to £85,000 basic, plus 10% bonus and an extensive benefits package. What you'll be doingDesign, build and maintain scalable data pipelines and data products using Databricks, PySpark, Spark SQL and Delta Lake.Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems.Shape enterprise data architecture, balancing scalability, performance, security and maintainability.Partner with stakeholders across Finance, Product, Sales, Marketing and Engineering to turn business challenges into technical solutions.Embed data quality, governance and access controls throughout the data lifecycle.Mentor a junior engineer and help mature a growing data function.What you need to bring“Senior” level experience in data engineering, with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake, etc)Advanced SQL and Python coding skills.A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions.Solid grounding in data architecture, modelling and modern data platform design.Cloud experience, preferably AWS (Azure also fine though), and familiarity with CI/CD and source control best practice.Working across numerous data pools, but with a particular focus on financial & sales / revenue data is preferd.Desirable: More Data Science leaning background or want to explore ML / AI & data / predictive modelling strategies.Why you'll love this jobA highly visible, hands-on role with real influence over data architecture and platform strategy.Join a small, high-impact team at the heart of the company's data strategy, with genuine scope to shape how it evolves.
We are near the beginning of our Data Ops’ journey – so an excellent opportunity to shape the future! Extensive benefits package including health insurance, income protection, life assurance, subsidised gym membership and 25 days' holiday plus your birthday off.If you're a Databricks specialist who wants to build something from the ground up rather than maintain someone else's legacy, we'd love to hear from you.
Apply now to find out more.SummaryDepartment: TechnologyJob Type: Full timeContract Type: Full timeClosing Date: 2026-10-23T23:59:00.000Z

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