Job description
Project overview
The role
We're looking for a strong, hands-on Tech Lead to help build a Real Time commodity intelligence platform from the ground up. This is a generalist data/platform engineering role. You'll design the architecture and write the production code behind it.
The work cuts across streaming, graph, time-series and large-scale data. If you like hard problems and want to own the technical direction of something new, this is it.
What you'll be doing
What you'll bring
- Designing and building Real Time streaming pipelines on Kafka
- Architecting a lakehouse platform using Apache Iceberg
- Building high-performance analytics over large-scale and temporal (time-series) data
- Developing knowledge graphs, semantic models and ontologies to give the data structure and meaning
- Bringing AI and agent-based reasoning into the platform
- Designing distributed systems that scale, and writing production-grade code to deliver them
- Setting technical direction and standards as the platform grows
- Strong hands-on experience as a data or platform engineer, at Tech Lead level or close to it
- Deep Kafka and Real Time streaming experience
- Experience with Iceberg or other lakehouse technologies
- A track record of designing and building distributed systems
- Experience with time-series/temporal data and high-performance analytics
- Exposure to knowledge graphs, semantics or ontologies
- Interest in AI/agent reasoning and how to apply it to real data problems
- Comfortable switching between architecture and code, and keen to work across the whole stack
Nice to have
Interested?
If that sounds like you, or someone you know, get in touch.
- Commodities, energy or trading background
- Experience building a platform from scratch
Project details
- Start: ASAP
- Duration: 12 months - Contract to Perm
- Location: London, UK, GB
- Rate: 125-125 EUR/h
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