Hybrid Data Engineering Manager

Posted last month

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About the role

  • Lead and coach an agile team of Data Engineers, Martech and Machine Learning Engineers deeply embedded in the business
  • Build reliable pipelines, high-quality data assets and re-usable audiences using dbt, Spark, SQL, Python, Airflow on AWS
  • Activate data for personalization, marketing and advertising using Census, Braze, Google Cloud Platform, Meta, Tiktok, Snap and others
  • Be a people manager that motivates and engages their team
  • Lead the technical direction of the cross-functional team
  • Partner with product managers to build a compelling and high-impact roadmap
  • Foster an obsession with quality and engineering excellence through automated processes using CI/CD, TDD, BDD
  • Own the operation of the products built by your team
  • Drive incremental growth in engineering maturity
  • Oversee the tagging and event instrumentation strategy
  • Partner with Legal and Privacy teams to define and embed consent management and data governance best practices
  • Design and scale integrations between marketing platforms, analytics systems and CRM
  • Seek opportunities to embed the latest in LLM and other AI technologies in our data products

Requirements

  • People management and technical leadership experience
  • Passionate about agile software delivery with a track record of leading effective agile and lean software teams
  • A consistent background in software development in high volume environments
  • Background in Dev Ops, deploying, managing and maintaining services using Docker, Terraform and AWS CLI tools to achieve infrastructure-as-code and automated deployments
  • Excellent working knowledge of AWS services (EMR, ECS, IAM, EC2, S3, DynamoDB, MSK)
  • Grounding in web/app tracking for analytics and marketing
  • Familiarity with analytics and activation platforms such as GA4, Census, HighTouch, Segment, Tealium, Braze, Salesforce Marketing Cloud, or equivalent tools
  • Understand data privacy and consent frameworks (e.g. GDPR, CCPA) and their technical implementation in tagging and activation systems.

Benefits

  • Private healthcare & dental insurance
  • Generous work from abroad policy
  • 2-for-1 share purchase plans
  • EV Scheme to further reduce carbon emissions
  • Extra festive time off
  • Excellent family-friendly benefits
  • Career growth with clear career paths
  • Transparent pay bands
  • Personal learning budgets
  • Regular learning days

Job title

Data Engineering Manager

Job type

Experience level

Mid levelSenior

Salary

£95,000 - £105,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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