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Data Engineer

Travelex

Greater London

Hybrid

GBP 55,000 - 75,000

Full time

Today
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Job summary

A global foreign exchange specialist is seeking a Data Engineer to develop modern data services. In this role, you will collaborate with stakeholders to design and deliver components of the data landscape while owning projects from inception to completion. Key qualifications include significant hands-on experience with AWS services and excellent skills in SQL and Python. This position is hybrid and offers opportunities to influence the evolving data strategies of the organization.

Qualifications

  • Significant hands-on experience with AWS services focused on data flow pipelines.
  • Excellent data engineering skills, particularly in SQL, Python, DBT, and Airflow.
  • Experience designing scalable data models and warehouse architectures.

Responsibilities

  • Develop code scripts and configurations for data pipelines and transformations.
  • Define data solutions and lead design activities.
  • Take initiative to clarify requirements during development.

Skills

AWS services
SQL
Python
DBT
Airflow
APIs
data modeling
CI/CD practices
Terraform
CloudWatch

Tools

Apache Hive
Hadoop
Redshift
Spark
Kafka
Scala
Job description
Overview

Job Title : 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 youll collaborate with stakeholders across the business to design and deliver new components of our data landscape. Youll own your work end-to-end from defining the approach through coding configuration and documentation to doing so youll have significant impact on how our business evolves and the freedom to shape solutions in your own way .

Key Responsibilities

Here are key things youll do as a data engineer in our team. The list isnt complete : as a competent engineer youll 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 when agreeing the best design (analysis engagement documentation).
  • Take initiative to investigate whatever needs clarification during design or development.
  • Learn whats 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.
Key Requirements

This vacancy is for someone who enjoys mixing hands-on coding with wider problem-solving and continuous learning. Below are key requirements from our data engineer but you dont need to tick every box. Success in our team is not limited to the traditional data engineering type!

  • 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 optimi s ing 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 ( Te rraform 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 productioni s e 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.
Why Travelex

To remain the worlds 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 a number of digital-first greenfield products and services. And with the Travelexs 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

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

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