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Lead Data Engineer

Skills

aiairflowawsci cdclouddata engineeringdata modelingdata pipelinesdata qualitydatabricksgitinfrastructure as codemachine learningpythonsparksqlterraformPythonAWSTerraformSparkAirflowGitCI/CD

Description

Lead Data Engineer | London | 2 days a month in office

I’m working with a leading UK business that is investing heavily in its data and technology capabilities, and they’re looking for a Lead Data Engineer to join the team.

This is a technical leadership role where you’ll specialise in Databricks and manage a team of 4 Data Engineers, while providing technical direction across the wider data engineering function.

The role

  • Manage, mentor and develop a team of 4 Data Engineers
  • Provide technical leadership across data engineering projects
  • Design and deliver scalable data products and pipelines
  • Work closely with Data Scientists, Analysts, Architects and Product teams
  • Drive engineering standards around coding, testing and data quality
  • Oversee batch and real-time data integrations
  • Help shape the evolution of a modern cloud data platform
  • Improve engineering processes and ways of working across the wider data community
  • Provide hands-on technical guidance where required
  • Support wider data, ML and AI initiatives

What they’re looking for

  • Strong commercial Data Engineering experience
  • Previous experience leading, mentoring or managing Data Engineers
  • Strong Python and SQL skills
  • Experience with Databricks on AWS
  • Strong Spark and Airflow experience
  • Experience building scalable data pipelines and integrations
  • Good understanding of CI/CD and Git
  • Experience with Terraform or similar IaC tools
  • Strong understanding of data modelling and data quality
  • A genuine interest in developing people as well as technology

If you’re a Data Engineer who has moved into technical leadership or people management and want to lead a team while staying close to the technology, get in touch.

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