Data Engineer

We are currently looking for a
Data Engineer
to join our
Data Engineering team in Cardiff
.

You will be expected to attend the office
50% of the working week
, in line with our hybrid working policy.

At Creditsafe, we weave our core values of
customer obsession, trust, respect, and the courage to be different
into everything we do. These values are at the heart of our culture and have helped us build an environment focused on growth, innovation, wellbeing, and long-term success over the past 20 years.

Powering business decisions for over
100,000 businesses worldwide
takes more than great tools. We believe in rolling up our sleeves to create a welcoming, supportive environment where new talent is guided, nurtured, and empowered to grow and thrive as part of our community.

With
25 offices across 14 countries
, our globally distributed workforce reflects our inclusive and diverse culture. Our teams collaborate to solve complex problems, share knowledge, and learn from one another.

Twice featured in The Sunday Times ‘100 Best Companies to Work For’, Creditsafe is a place where careers are built. Many of our colleagues have grown long-term, successful careers with us—and we’re proud to continue supporting people to reach their full potential.

As a Data Engineer, you will work closely with
Product Managers, Data Analysts, and fellow Data Engineers
to design and build systems that extract, transform, and deliver Creditsafe data.

You’ll be responsible for defining and building
data pipelines
that enable faster, smarter, data-informed decision-making across the business and for our customers.

This role offers exposure to
distributed data architectures in AWS
, working on scalable and high-performing data platforms.

• Work as part of an
  Agile team
  to develop, test, and maintain high-quality data processing systems that meet business needs
• Extract data from a variety of sources, including
  relational databases, files, and APIs
• Help evolve our data platform with a focus on
  scalability, growth, and high throughput
• Apply engineering best practices such as
  continuous integration and test-driven development
  to support rapid delivery
• Design and build
  metadata-driven data pipelines
  using
  Python and SQL
  , in line with Data Architecture guidelines
• Independently deliver
  medium to large features
  , using industry-standard data processing patterns

The responsibilities listed above are not exhaustive, and you may be asked to take on additional reasonable duties as required by your line manager.

• Experience designing and building
  autonomous, fault-tolerant data pipelines
• Strong commercial experience developing
  production-grade ETL and ELT pipelines in Python
• Experience implementing data architectures in analytical data warehouses such as
  Snowflake, Redshift, or Big Query
• Hands-on experience with data orchestration tools such as
  Airflow
• Knowledge of
  Agile development methodologies
• Awareness of
  cloud technologies
  , particularly
  AWS
• Understanding of
  automated delivery and CI/CD processes
• Strong engineering fundamentals, including
  error handling, logging, monitoring, and fault-tolerant design
• Ability to write efficient code and carry out
  performance optimisation and tuning
• Comfortable working with relational databases such as
  Oracle, Postgre
  
  SQL, and MySQL
• Exposure to
  dbt
  and
  data quality testing frameworks
• Awareness of
  Infrastructure as Code
  tools such as
  Terraform and Ansible

• Competitive salary
• Company laptop provided
• Bonus scheme
• 25 days annual leave
  plus bank holidays
• Hybrid working model
• Healthcare and company pension
• Cycle to Work and wellbeing programmes
• Global company gatherings and events
• E-learning and excellent career progression opportunities
• Plus more — see the full benefits package on our Careers page:

Creditsafe is an
equal opportunities employer
and values diversity. If you require any support during the application process, please contact the Creditsafe recruitment team.