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.
WHO ARE WE?
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.
JOB PROFILE
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.
KEY DUTIES AND RESPONSIBILITIES
- 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.
SKILLS AND QUALIFICATIONS
- 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 BigQuery
- 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, PostgreSQL, and MySQL
- Exposure to dbt and data quality testing frameworks
- Awareness of Infrastructure as Code tools such as Terraform and Ansible
BENEFITS
- 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:
- https://careers.creditsafe.com/gb
Creditsafe is an equal opportunities employer and values diversity. If you require any support during the application process, please contact the Creditsafe recruitment team.
