Creditsafe are expanding their Consumer Bureau team, an exciting new project aiming to have us enter the Consumer Credit Bureau space in the United Kingdom and eventually become a fully-fledged Consumer Reporting Agency. We're looking for a Quality Engineer experienced in testing cloud-native software systems.

WHO WE ARE

Privately owned and independently minded, at Creditsafe, we are guided by values of customer-focus, trust, respect, and a willingness to try new things. For over 20 years, these values have shaped a culture of growth, innovation, and support, where our team members build successful, long-term careers.

With a diverse team spread across 25 offices in 14 countries, we value collaboration, learning, and problem-solving together. We have been featured twice in The Sunday Times' '100 Best Companies to Work For' and continue to prioritize well-being, career growth, and inclusion.

Our continued success has made us the most used business data provider in the world and one of the industry's strongest growing business intelligence providers. Today Creditsafe has 23 offices across 3 continents serving 110,000 customers from SMEs to enterprise businesses.

THE TEAM

This opportunity is to join an Agile team of Software, Data and Quality engineers who are responsible for two - one productionized and one upcoming - big data projects. These projects process hundreds of GB a day in massive ELTL ingest, person-centric matching, and sub-second-serving batch and near-real-time processes.

The wider Quality Engineering community within Creditsafe work together in driving a culture of quality into the teams acting as knowledge experts on quality. We test throughout the lifecycle and believe that the whole team is responsible for the quality of our deliverables. We implement intelligent automation and are proponents of thinking critically about the features developed by our teams.

YOUR ROLE

You will validate data correctness across every layer of the stack: ingest, transformation, warehouse, and API. You will write SQL to interrogate millions of rows, build Python test suites that run against cloud infrastructure, and work directly with engineers and analyst to trace data issues from source to serving.

You will collaborate closely with our sister Data Analytics, and product teams, from the beginning stages of development, offering input on system design and testing strategies and ensuring our feature output matches their expectations and demands.

This is a hybrid position, requiring attendance in the office for 50% of the working week, in line with our hybrid work policy.

YOUR TOOL STACK

SQL. You'll write queries daily.

Python. PyTest, automation frameworks, data validation scripts

Pandas (or Spark/Polars). For dataset analysis and comparison.

AWS. Our stack includes Redshift, S3, S3Tables (Iceberg), DynamoDB, Aurora (Postgres), Step Functions, Airflow, Lambda, ECS, Glue, among others. You don't need to know all of them, but experience with any AWS data services (or equivalent in Azure or GCP) is a strong start.

API testing tools. Postman, Bruno, or similar.

Locust (or k6/Gatling/JMeter). For load and performance testing against data APIs and pipelines.

Git.

Azure DevOps. Boards, pipelines, repos, test plans.

WHAT YOU'LL OWN

Data Pipeline Testing: Build and maintain automated tests for data pipelines from ingest all the way until serving layer. Validate record counts, schema integrity, transformation logic, and cross-source consistency.

Data Validation: Verify correctness, completeness, and accuracy across Redshift, Aurora, S3, and DynamoDB. Trace individual records through the full pipeline when something doesn't add up.

API Testing: Test search and lookup APIs against expected data outcomes, not just status codes, but whether the right records come back with the right values.

Performance Testing: Design and run load tests against APIs and data pipelines using Locust or similar tools. Identify bottlenecks, validate SLAs, and ensure the system handles production-scale volumes.

Early Involvement: Join refinement sessions, challenge acceptance criteria and flag gaps before code is written.

Automation: Build test suites in PyTest that run in CI/CD. Integration tests against real AWS infrastructure, not just mocks.

Troubleshooting: When a pipeline produces wrong results, you find where and why. Clear reports, reproducible queries, root cause analysis.

We will support your learning and provide resources to help you grow in this role.

WHAT YOU BRING

Experience: Proven experience testing data systems, pipelines, warehouses, ETL/ELT, not just web applications.

SQL: Good SQL skills. You can write joins, procs, and aggregations to validate data across tables.

Python: Good Python for test automation, scripting, and data analysis.

Cloud: Familiarity with AWS data services (Redshift, S3, DynamoDB, Aurora) or an equivalent cloud stack.

Analytical Mindset: You look at a dataset and spot what's wrong, not just confirm what's right.

Automation: Experience integrating test suites with CI/CD pipelines.

Performance: Experience with performance and load testing tools (Locust, k6, Gatling, or similar) is desired.

Communication: Ability to explain data issues clearly to engineers and product owners.

Leadership: Experience mentoring junior engineers is a plus.

WHY CREDITSAFE

IC ladder with teeth. Staff and Principal are a destination, not a waypoint - with scope, comp and influence that genuinely match the title.

Written design culture. Anything non-trivial gets an RFC. Decisions are recorded. We disagree in documents, not in meetings.

Real operability. We run what we build. No hand-offs to a separate ops team.

Pragmatic agile. Teams own their own process. We optimise for shipping, not ceremony.

Customer-first. Our focus is on making work that adds value to our clients first. Stability, freshness, durability, trust - non-negotiable.

Leadership you'll want to work with. Engineering leadership is technical, present, and will back your calls.

Benefits

Competitive Salary.

Company Laptop

Bonus Scheme.

25 Days Annual Leave (plus bank holidays).

Hybrid working model.

Healthcare & Company Pension.

We are committed to providing a welcoming, supportive environment. Creditsafe is an equal opportunities employer that values diversity. Please contact us if you need any assistance with your application.

Fraud Management Programme job in New Zealand (1)

Sign up to Job Alerts!

New Zealand Private Client Director

Boost your career