Head of Data Engineering - Analytics & BI

Head of Data Engineering - Analytics & BI at Trainline. Join to apply for the Head of Data Engineering - Analytics & BI role at Trainline.

• 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.

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

• Python and Scala
• Starburst and Athena
• Kafka and Kinesis
• DataHub
• ML Flow and Airflow
• Docker and Terraform
• Kafka, Spark, Kafka Streams and KSQL
• DBT
• Tableau
• AWS, S3, Iceberg, Parquet, Glue and EMR for our Data Lake
• Elasticsearch and DynamoDB

Enjoy fantastic perks like 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, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!

Our Values Represent The Things That Matter Most To Us And What We Live And Breathe Everyday, In Everything We Do

• 💭 Think Big - We\'re building the future of rail
• ✔️ Own It - We focus on every customer, partner and journey
• 🤝 Travel Together - We\'re one team
• ♻️ Do Good - We make a positive impact

We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That\'s why we\'re committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.

Director

Full-time

• Engineering and Information Technology

• Technology, Information and Internet