AI Data Engineer

A transformation focused organisation where data and AI drive measurable impact. Collaborative, fast, and big on continuous improvement, with ethics and governance baked in.ResponsibilitiesPipeline & 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.QualificationsBachelor'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, data architecture, and Azure (e.g., ADF, Databricks, Synapse).Proficient in Python, SQL and common ML frameworks (e.g., TensorFlow, PyTorch).Working knowledge of data & model governance and responsible/ethical AI.Clear communicator who can align stakeholders and land outcomes.#J-18808-Ljbffr