Senior Data Engineer - Databricks
Hireful · London, England ·
UK HQ based & fast-growing software 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. 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 doing Design, 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. Experience of mentoring more junior Data Enigneers A broad range of data source experience (structured & unstructured): from CRM / revenue data, to financial data & subscription usage data.
Cloud experience, preferably AWS (but Azure is totally fine), and familiarity with CI/CD and source control best practice.
Desirable
More Data Science leaning background or want to explore in this role: ML / AI & data / predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture and platform strategy.<...
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