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).
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