Head of Data Engineering - Platform, Governance, Architecture

About us:

We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.

Great journeys start with Trainline

Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be.

Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.

Role Purpose

Build a world-class Data Platform, owning the vision, strategy, roadmap and delivery for the data platform teams. Achieve continuous improvement in cost-efficiency, data governance and operational maturity of the Data platform and drive the adoption of innovative, frictionless platform services and products within the Data function and wider org.

As Head of Data Engineering you will...

• Set the vision and strategy for the Data Platform and lead the team and the necessary organisational change to achieve the vision.
• Lead an org of circa. 20 Data Engineers and Data Engineering Managers.
• Set the technology blueprint, architecture and roadmap of the Data Platform.
• Ensure delivery of OKRs for Data Engineering and cross-functional data teams within your remit.
• Ensure that the core data lake and data catalogue is highly available, contains trustworthy data and is well-governed.
• Ensure that the core processing pipelines and infrastructure are reliable and deliver efficient, timely and high-quality data.
• Engage the team to achieve good Have Your Say survey outcomes for the Data Engineering teams within your remit.
• 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.

We'd love to hear from you if you...

• Thrive in a diverse, open and collaborative environment.
• Have experience managing multiple teams of Data Engineers.
• Are in 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 DevOps deploying, managing and maintaining services using Airflow, Docker, Terraform and AWS CLI tools to achieve infrastructure-as-code and automated deployments.
• Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK).

Our Technology Stack

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

More information:

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, 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.

Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
#J-18808-Ljbffr