Data and ML Engineer

Your responsibilities, Take end-to-end ownership of the data pipelines: ingest high-volume time-series feeds (telemetry, forecasts, energy market data) and make them clean, validated, and reliably available to everything downstream, Build data quality in by default, with validation, anomaly detection, and monitoring wired into every pipeline rather than bolted on afterwards, Shape the data platform architecture as it grows, balancing real-time responsiveness with heavy historical processing, Partner with data scientists to take forecasting and optimization work from notebook to production, and stay on the hook for how those systems behave once they are live, Push the quality of the modeling and algorithm work itself through code review, technical debate, and hands-on contribution, not just plumbing around it, Embed data and models directly into the core product alongside the engineering team, Own the data relationship with external partners (EMS providers, trading partners) so integrations stay clean at the source