Hybrid Head of Data Engineering – Analytics, BI

at Trainline

• Job title: Head of Data Engineering – Analytics, BI
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Docker, DynamoDB, EC2, Terraform
• Location requirements: Hybrid, London, United Kingdom

About the role

• Head of Data Engineering focusing on Analytics and BI at Trainline to maximize data productivity and efficiency. Leading diverse teams to drive innovation in data engineering and analytics.

Responsibilities

• 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