National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineering Manager

Travelex
City of London
3 days ago
Create job alert

Job Title: Data Engineering Manager

Job Type: Full Time, Permanent

Location: London, Hybrid


Role Purpose

At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven.

The data engineering manager (DEM) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a wide range of data integrations.


Main Responsibilities:


Leadership & Strategy

  • Work with the Director of Data Engineering and IT Leadership to enhance the company's data maturity.
  • Maintain strong business alignment by engaging with leaders across domains and geographies.
  • Ensure data engineering initiatives match evolving business priorities.
  • Promote a product mindset, balancing technical efficiency with clear business value.


Team Management

  • Lead the Data Engineering team, providing supervision, coaching, and professional development.
  • Work with the Data Delivery Manager to improve team productivity and velocity.
  • Oversee planning sessions, standups, retros, and team meetings.
  • Define and deliver technical goals & OKRs in collaboration with the teams.


Technical Leadership

  • Own the architecture of the company's data platform, ensuring scalability, reliability, and security.
  • Drive modernisation by transitioning from legacy systems to a lean, scalable platform.
  • Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks.
  • Establish best practices for data modelling, ingestion, storage, streaming, and APIs.


Governance & Standards

  • Ensure all technical decisions are well-justified, documented, and aligned with business needs.
  • Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board.
  • Promote best practices in data governance, security, data protection, and risk management.


Operational Excellence

  • Oversee monitoring of live data products and lead response to data incidents.
  • Drive improvements in data quality, working with data owners and managers.
  • Collaborate with engineering teams to ensure seamless system integration.
  • Advocate for reducing technical debt while balancing resource constraints.


Innovation & Continuous Improvement

  • Stay updated with industry trends and recommend relevant technologies.
  • Lead analysis, assessment, and design activities, influencing key decisions.
  • Foster collaboration with data analysts and data scientists to develop impactful data products.

Requirements – Skills and Experience

To qualify for the DEM role, experience and skills from the list below are required.

Essential:

  • Strong leadership: An inspirational leader, engaging team player, and curious listener.
  • Excellent problem-solving skills with experience in complex data products.
  • Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage.
  • Significant hands-on experience with AWS and its data services.
  • Expert-level skills in SQL, Python, DBT, Airflow and Redshift.
  • Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying.
  • Ability to guide and mentor others in technical best practices.
  • A product mindset, focusing on user needs when designing deliverables.
  • Experience in designing technology solutions with complex end-to-end data flows.
  • Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance.

Preferred:

  • Experience with Databricks
  • Understanding of how data platforms interact with marketing and customer engagement platforms.
  • Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks.
  • Good understanding of security and data protection best practices.
  • Familiarity with compliance and regulations, such as GDPR, PCI and FCA.
  • The flexibility to adjust your delivery approach to business needs, including mixing elements of Kanban, Scrum, Lean and our own custom practices.
  • The passion to stay up-to-date with the latest advancements in your field, exploring new tools and methodologies.
  • The curiosity to understand the business, its requirements and culture.
  • Your own unique style or way of working, which will make our team diverse and original.


Why Travelex?


To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on.


Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of several digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce, and international payments.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Related Jobs

View all jobs

Platform Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Head of Data Engineering - Platform, Governance, Architecture

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.