Data Engineering Lead - Databricks

Bristol Source: WhatJobs
See advert for pay

Overview

You will lead a data engineering team within a UK organisation undergoing a data transformation, driving technical excellence and the growth of a Databricks Lakehouse. In this hybrid role, you shape the enterprise data platform while staying hands-on to deliver scalable data pipelines and trusted data solutions. You’ll partner with Architecture, BI, Data Science and Technology teams to enable business growth and innovation. This is a chance to influence technology decisions and mentor a high-performing team in a critical transformation effort.

Pay / Benefits

  • Enhanced pension contribution
  • Generous holiday allowance
  • Healthcare and wellbeing benefits
  • Enhanced family leave policies

Responsibilities

  • Lead, mentor and develop a team of Data Engineers
  • Provide technical leadership across data platforms, products and pipelines
  • Drive the migration and enhancement of a Databricks-based data platform
  • Design and maintain scalable data pipelines and curated datasets
  • Support wider transformation initiatives including cloud and SaaS programmes
  • Collaborate with Architecture, BI, Data Science and Technology teams
  • Champion engineering best practice across testing, deployment, monitoring and code quality
  • Ensure data platforms remain reliable, secure and high performing
  • Promote Agile ways of working and continuous improvement

Key requirements

  • Experience leading Data Engineering teams in a complex enterprise environment
  • Strong hands-on expertise in modern cloud-based data platforms
  • Excellent SQL and Python skills
  • Strong experience with Databricks and Lakehouse architectures
  • Deep understanding of data engineering, data modelling and platform design
  • Experience delivering solutions that support reporting, analytics and data science
  • Strong stakeholder management and communication skills
  • Comfortable balancing technical leadership with hands-on engineering responsibilities
  • Stakeholder management
  • Communication skills
  • Mentoring and teamwork
  • Databricks
  • Lakehouse architectures
  • SQL

Full job description from WhatJobs. Apply for this role →

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