A transformation focused organisation where data and AI drive measurable impact. Collaborative, fast, and big on continuous improvement, with ethics and governance baked in.
Responsibilities - Pipeline & platforms: Build/operate scalable ETL/ELT and streaming workflows.
- Data foundations: Optimise storage, query performance, and model-serving layers.
- Applied AI: Deploy and maintain ML/LLM workloads tied to clear business use-cases.
- Partner well: Shape high-quality datasets with analysts/scientists; ship usable outputs.
- Operate safely: Implement MLOps, data/model governance, security, and compliance.
- Improve continuously: Instrument, monitor, and iterate for cost/perf/reliability.
Qualifications - Bachelor's in Computer Science, Data Science, Engineering, or similar.
- Must have 5 years in data engineering; with at least 2 years applied AI/ML in production.
- Strong ETL/ELT, dat...