About Us
We’re Creditsafe – the world’s most-used provider of business credit reports, serving over 100,000 customers globally. But we’re not just about data—we’re a technologyfirst, product-led organisation undergoing a transformation. Our teams are reimagining how data is collected, modelled, and delivered, and Data Engineering is at the core of this evolution.
We’re investing heavily in scalable cloud platforms, Data Vault architecture, and the next generation of engineering tools and techniques—from intelligent developer environments to GenAI-assisted documentation and code acceleration. Our goal is to keep our engineers ahead of the curve, empowered with modern workflows that reduce friction and increase impact.
We’re already integrating Generative AI into our day-to-day engineering processes—with tools like Cursor, Gemini, and Claude Sonnet helping us move faster, smarter, and with more autonomy.
What You’ll Be Doing
As a Data Engineer, you’ll work on a modern, AWS-native data platform, building highperformance pipelines and collaborating across engineering, analytics, and AI teams to make data accessible, trusted, and intelligent.
You will:
Build, maintain, and optimise batch and streaming pipelines using AWS Glue, Athena, Redshift, and S3.
Use prompt engineering techniques (don’t worry—we’ll help you learn them) to guide the behaviour of LLMs in automation, testing, and documentation.
Partner with platform teams to incorporate GenAI assistants like Cursor, Claude, and Gemini into developer workflows.
Help curate high-quality datasets, managing structured and unstructured inputs across domains and jurisdictions.
Contribute to metadata enrichment, lineage tracking, and discoverability using DBT, Airflow, and internal tools.
What You Bring
- Proven experience in data engineering or analytics engineering roles.
- Proficiency in Python and SQL, with strong debugging and performance tuning skills.
- Experience building cloud-native pipelines using AWS tools (Glue, S3, Athena, Redshift, Lambda).
- Familiarity with orchestration tools (Airflow, Step Functions) and DevOps practices (CI/CD, IaC).
- A genuine interest in Generative AI and a desire to grow your skills in areas like prompt engineering, LLM integration, and AI-augmented workflows.
- (We’ll support your learning through mentoring, internal training, and hands-on project exposure.)
- Comfort collaborating across functions and sharing knowledge with others.
Nice to Have
- Some exposure to GenAI tools (LangChain, LlamaIndex, or open-source LLMs)— but curiosity and a growth mindset matter more than direct experience.
- Familiarity with data cataloging tools (e.g., OpenMetadata, DataHub) and Data Vault methodology.
- Interest in intelligent developer environments (e.g., Cursor, GitHub Copilot, Gemini Code Assist).
- Enthusiasm for creating high-quality, reusable data assets that power both people and machines.
Why Join Creditsafe?
- You’ll work in a global business that’s investing in modern, AI-driven data architecture.
- We’re embedding next-generation tooling—including LLM-powered assistants, metadata-aware pipelines, and intelligent developer environments—into our engineering culture.
- We understand that not everyone’s had a chance to use GenAI professionally yet—we’ll give you that opportunity.
- You’ll be given space to experiment, drive innovation, and help define best practices around AI and data.
- A supportive, international culture that rewards initiative, curiosity, and growth.
Ready to Make the Leap into GenAI?
Apply now and help bring intelligence, automation, and creativity into every step of the data lifecycle—whether it’s your first GenAI project or your fiftieth.
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