Hybrid Head of Data Engineering – Analytics, BI

Posted last month

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About the role

  • Set the vision and strategy for our data marts and lead Data Engineering, BI and Marketing Technology teams to achieve this vision.
  • Lead an org of circa. 20 Data Engineers, BI Engineers, Marketing Technology Analysts and Data Engineering Managers.
  • Work with stakeholders in Data, marketing and the wider org to define and ensure delivery of OKRs for the teams within your remit.
  • Architect our analytical data stores to maximise productivity and efficiency for data consumers with effective metrics and data marts.
  • Ensure that our data assets are discoverable, documented and readily accessible to consumers and appropriately protected.
  • Activate our data within marketing and advertising platforms to maximise the impact of our data.
  • Drive improvement in our digital analytics tracking and ingestion to enrich the data marts with real time interaction data.
  • Engage the team to achieve good Have Your Say survey outcomes for the Data Engineering community.
  • Manage the costs of data systems and 3rd party suppliers within the current FY budget and accurately forecasting the next FY budget.
  • Define and implement effective ways of working for delivery teams and ensuring these are embedded.
  • Influence the direction of our technology platforms so that they are aligned to the needs of delivery teams and driving adoption of new technologies.
  • Embed high standards of engineering excellence in delivery teams.
  • Define effective operational processes and ensuring that teams embed these processes and achieve operational performance targets for availability, performance, security, on call rotas, incident management etc.
  • Ensure the Data Engineering function engages with regulatory, audit or compliance teams and processes and achieves compliance with relevant policies in Data Governance, security, privacy and IT controls.
  • Coordinate larger cross-team projects or programmes within the Data function and ensure that we have governance in place to manage delivery.
  • Mentoring and developing team members, fostering a culture of continuous learning, and promoting diversity and inclusion within the team.

Requirements

  • Thrive in a diverse, open and collaborative environment.
  • Experience managing multiple teams of Data Engineers.
  • Expert in data engineering infrastructure, technologies and practices.
  • Deep expertise in data modelling and warehouse design in the modern, lake house era.
  • Experienced and committed people manager with technical leadership experience.
  • Passionate about agile software delivery with a track record of leading effective agile and lean software teams.
  • Strong background in deploying, managing, and maintaining services using Airflow, Docker, Terraform, and AWS CLI tools to achieve infrastructure-as-code and automated deployments.
  • Good knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK).

Benefits

  • private healthcare & dental insurance
  • a generous work from abroad policy
  • 2-for-1 share purchase plans
  • an 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

Head of Data Engineering – Analytics, BI

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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