Trainline
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, eco-friendly 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. Introducing Data Science at Trainline Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams across Product and Marketing, empowered with a high degree of autonomy to drive outcomes using all data and techniques at their disposal. As the Head of Data Science, you will lead a team of high-performing Data Science Managers and play a pivotal role in shaping a large cross-functional organisation spanning Product, Engineering, Marketing and Data. You will be a key decision-maker, helping define and deliver a product experience that provides the right inventory, enables a seamless purchase journey, and drives forward our future ticketing opportunities. Doing this well requires deeply understanding our users, identifying their Jobs-to-Be-Done, evaluating whether we are successfully meeting their needs, and accelerating the pace of product discovery and iteration. Your team will influence strategic product thinking, strengthen experimentation and measurement practices, and shape how AI and data power our product experience. In this role, your leadership spans two complementary dimensions: Functional leadership, setting the bar for excellence in Data Science & Analytics. Strategic business partnership, working closely with Product, Engineering, Commercial and Marketing to define long-term direction and deliver impactful outcomes. As a Head of Data Science at Trainline, you will Lead & Develop a High-Performing Data Science Organisation Lead an org of 3 Data Science Managers and their respective teams. Build a culture focused on experimentation, learning, and measurable business impact. Ensure Data Science & Analytics talent is embedded effectively into cross-functional squads and operating at a high bar. Shape Strategy Through Data Act as a co-leader of a large cross functional strategic area of 150 people, defining long-term vision and strategy. Provide data-driven frameworks to structure product thinking - user classifications, Jobs-to-Be-Done, north star metrics, success criteria, and evaluation methods. Influence prioritisation and roadmap decisions by grounding strategic choices in evidence and insight. Advance Experimentation, Measurement & Goaling Champion and mature experimentation practices across teams. Develop clear goaling methodologies enabling rapid iteration and learning. Ensure robust evaluation of product changes, including holdouts and causal inference methods. Elevate Data, AI & Infrastructure Capabilities Work with our ML Engineering counterparts to help shape our wider AI/ML strategy. Influence Data Engineering, BI and Platform priorities to improve data maturity, quality and tooling. Ensure foundational datasets and metrics are trusted, consistent and scalable. Drive High-Impact Outcomes & Senior Communication Hold the organisation to a high bar for analytical rigour and business impact. Communicate insights, strategy, and progress to senior leadership. Drive alignment and influence decision-making across the company. We'd love to hear from you if you have Experience leading data-driven teams in the product space within tech organisations. Proven experience managing Data Science Managers or Data Scientists & Analysts. Demonstrated driving growth and influencing strategy in online products. Experience setting strategic direction, thinking big, and executing effectively. Ability to distil complex analysis into clear, actionable communication for all levels. Strong experience guiding experimentation and test-and-learn cultures. Ability to navigate ambiguous datasets and translate them into insights. Strong stakeholder management and cross-functional leadership experience. Strong data visualisation and communication skills. Knowledge of statistical and causal inference methods. Tech stack: SQL, Python, dbt, Tableau, Trino, AWS Athena + more. More information: 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! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. 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!
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, eco-friendly 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. Introducing Data Science at Trainline Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams across Product and Marketing, empowered with a high degree of autonomy to drive outcomes using all data and techniques at their disposal. As the Head of Data Science, you will lead a team of high-performing Data Science Managers and play a pivotal role in shaping a large cross-functional organisation spanning Product, Engineering, Marketing and Data. You will be a key decision-maker, helping define and deliver a product experience that provides the right inventory, enables a seamless purchase journey, and drives forward our future ticketing opportunities. Doing this well requires deeply understanding our users, identifying their Jobs-to-Be-Done, evaluating whether we are successfully meeting their needs, and accelerating the pace of product discovery and iteration. Your team will influence strategic product thinking, strengthen experimentation and measurement practices, and shape how AI and data power our product experience. In this role, your leadership spans two complementary dimensions: Functional leadership, setting the bar for excellence in Data Science & Analytics. Strategic business partnership, working closely with Product, Engineering, Commercial and Marketing to define long-term direction and deliver impactful outcomes. As a Head of Data Science at Trainline, you will Lead & Develop a High-Performing Data Science Organisation Lead an org of 3 Data Science Managers and their respective teams. Build a culture focused on experimentation, learning, and measurable business impact. Ensure Data Science & Analytics talent is embedded effectively into cross-functional squads and operating at a high bar. Shape Strategy Through Data Act as a co-leader of a large cross functional strategic area of 150 people, defining long-term vision and strategy. Provide data-driven frameworks to structure product thinking - user classifications, Jobs-to-Be-Done, north star metrics, success criteria, and evaluation methods. Influence prioritisation and roadmap decisions by grounding strategic choices in evidence and insight. Advance Experimentation, Measurement & Goaling Champion and mature experimentation practices across teams. Develop clear goaling methodologies enabling rapid iteration and learning. Ensure robust evaluation of product changes, including holdouts and causal inference methods. Elevate Data, AI & Infrastructure Capabilities Work with our ML Engineering counterparts to help shape our wider AI/ML strategy. Influence Data Engineering, BI and Platform priorities to improve data maturity, quality and tooling. Ensure foundational datasets and metrics are trusted, consistent and scalable. Drive High-Impact Outcomes & Senior Communication Hold the organisation to a high bar for analytical rigour and business impact. Communicate insights, strategy, and progress to senior leadership. Drive alignment and influence decision-making across the company. We'd love to hear from you if you have Experience leading data-driven teams in the product space within tech organisations. Proven experience managing Data Science Managers or Data Scientists & Analysts. Demonstrated driving growth and influencing strategy in online products. Experience setting strategic direction, thinking big, and executing effectively. Ability to distil complex analysis into clear, actionable communication for all levels. Strong experience guiding experimentation and test-and-learn cultures. Ability to navigate ambiguous datasets and translate them into insights. Strong stakeholder management and cross-functional leadership experience. Strong data visualisation and communication skills. Knowledge of statistical and causal inference methods. Tech stack: SQL, Python, dbt, Tableau, Trino, AWS Athena + more. More information: 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! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. 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!
TRIA
Silksworth, Sunderland
Data Architect 3 days a week onsite in Sunderland 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and compliance Collaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholders What we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teams This is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
Data Architect 3 days a week onsite in Sunderland 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and compliance Collaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholders What we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teams This is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
TRIA
Data Architect 3 days a week onsite in London 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and compliance Collaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholders What we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teams This is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
Data Architect 3 days a week onsite in London 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layers Technology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proof Data Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and compliance Collaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholders What we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teams This is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV.
