Lead a brand new data function at a commodities trading firm.
Report to the CTO and Head of Data Science in this global commodity trading house.
The team is in place to bridge the gap between trading analytics and the IT team – You’ll be the architect and go-to person within a team of data engineers supporting architectural decisions, technical direction and stakeholder interactions.
You'll own all technical architecture of data analytics whilst enforcing engineering best practices across data modelling, cloud infrastructure and both batch and streaming services.
Working directly with traders, analysts, engineers, DevOps, and delivery management to ensure the platform supports both current needs and is robust enough for future growth.
Your likely experience is 8 years+ in a data engineering setting making the jump from a lead engineer into something like this - As this team is currently growing, direct reports could be approx. of 12 engineers (Junior, Mid-level and Senior.)
Technical experience will be in designing and owning data and analytics platforms in cloud environments. Dealing with huge volumes of data in a modern stacks (e.g. Snowflake, dbt, Airflow) and CI/CD practices. Whilst having microservices experience within a cloud environment, ideally AWS.
If you have domain experience, great – but it’s NOT essential.
Hybrid working set up
A unique opportunity that could blend your technical skillset with the trajectory to lead a new “start-up like” function at a global business. Ready to take on the challenge?
No up to date CV required.