Data Engineer
Job Type: Full Time, Permanent
Working location: London, Hybrid Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. Our data architecture is becoming more service-oriented and more real-time - which creates a range of engineering problems for you to solve. Our work is fast-paced although our team remains collaborative and flexible even when delivering fast. As a Data Engineer, you'll collaborate with stakeholders across the business to design and deliver new components of our data landscape. You'll own your work end-to-end, from defining the approach, through coding, configuration and documentation, to go-live. In doing so, you'll have significant impact on how our business evolves and the freedom to shape solutions in your own way. Key Responsibilities Here are key things you'll do as a data engineer in our team. The list isn't complete: as a competent engineer, you'll bring to Travelex your own ideas of what else is needed to become a world-class data-driven business.
- Develop code, scripts and configurations as part of the development of data pipelines, data services and data transformations.
- Define data solutions, and lead all activities required when agreeing the best design (analysis, engagement, documentation).
- Take initiative to investigate whatever needs clarification during design or development.
- Learn what's required from your solutions and negotiate the requirements to achieve clarity and simplicity.
- Learn about features, capabilities and settings of the technologies used to build the best solution.
- Brainstorm your engineering approach continuously with colleagues and partners.
- Recommend development priorities, explain pros and cons of different options, and reach agreement on the next steps if needed.
- Recommend and implements steps to test and secure your data solutions.
- Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming.
- Excellent data engineering skills, for example with SQL, Python, DBT and Airflow.
- Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks.
- Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional modelling for analytics.
- Confidence in coding, scripting, configuring, versioning, debugging, testing and deploying.
- Skilled in optimising queries, pipelines, and storage for cost and performance efficiency.
- Good understanding of security best practices, and experience of implementing them.
- Knowledge of data quality frameworks, cataloging, lineage, and governance tools.
- Familiarity with CI/CD practices and Infrastructure-as-Code tools (Terraform, CloudFormation, or similar).
- Experience setting up alerting, logging, and monitoring for data pipelines (e.g., using CloudWatch, Datadog).
- Comfortable collaborating with data scientists and analysts to productionise models or build reusable data assets.
- A track record of automating manual processes and designing systems to scale with growing data volumes.
- The ability to explain, brainstorm, present, simplify, clarify, prioritise, document, listen, negotiate and compromise.
- 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.
Our commitment to innovation has never been greater, with the development of a number of 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
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