SKILL & EXPERIENCE:

• 3–5 years SQL experience (bonus: NoSQL or Snowflake).
• 2–3 years of hands-on Python (scripting and development).
• Experience in a fast-paced startup or agile environment.
• Strong background in schema design and dimensional data modeling.
• Able to communicate data architecture clearly with internal stakeholders.
• Experience with Azure, Airflow, DBT, Kubernetes, GitHub.
• Bonus points for: open-source contributions, an active GitHub profile, and curiosity for the latest in tech.
• A natural problem-solver who loves making things work.
• Focused on delivery, quality, and continuous improvement.
• Curious, adaptable, and open to change.

ABOUT THE ROLE:

At CRU, we’re transforming how the world understands commodities. We’re building cutting-edge platforms that will redefine how data is delivered to our clients—and we’re looking for a talented Data Engineer to be at the heart of it.
If you’re passionate about data, cloud architecture, and creating robust, scalable pipelines using modern tech, this is your opportunity to help shape a key part of CRU’s future.

KEY RESPONSIBILITIES:

• Develop and maintain scalable data pipelines to power next-gen data products in the commodities industry.
• Ensure data quality using the latest analytics and monitoring tools.
• Design and build robust pipelines with tools like Airflow and DBT.
• Create scalable infrastructure on Azure using technologies like Terraform.
• Write clean, high-quality, reusable code aligned with best practices.
• Drive innovation by bringing your own ideas—your voice will be heard.