Founded in 2020, RENEWCAST builds precision wind & solar forecasting software using cutting‐edge ML to deliver accurate, scalable, and cost‐efficient predictions. After recent investment rounds, we are expanding our senior technical team to strengthen the data foundation behind our forecasts. We value clarity, alignment, and smooth collaboration across technical and business teams — everyone understands not just what we build, but why. Your Role Help build and maintain the data pipelines that — power our forecasts. You'll work on ingestion, transformation, orchestration, and feature delivery across multiple data sources and schedules — collaborating closely with senior engineers for architecture and standards. This is a hands‐on engineering role where you'll gain exposure to advanced workflows (xarray/Zarr/Dask, asset‐first orchestration) while growing toward senior‐level ownership.



What You Will Do Build and maintain data pipelines from raw weather & production data to curated features; Develop batch ELT workflows ; contribute to real‐time ingestion when needed; Work within modern orchestrators (Airflow v3 preferred, Dagster, Prefect); Implement basic observability (metrics, logs, alerts) and contribute to performance improvements; Contribute to documentation , internal standards, and knowledge sharing; Learn the tensor‐first stack (xarray, Zarr, Dask) and apply it with mentorship from seniors. Must‐Have Skills 3+ years of experience in Data Engineering; Cloud experience (Azure/AWS/GCP) and basic CI/CD workflows; Good engineering hygiene: versioning, testing, observability, reliability mindset; Ability to own well‐defined pipeline components and collaborate effectively. Premio Points Experience with orchestration tools (Airflow/Dagster/Prefect or similar); Experience with scientific formats or tensorial data processing; Familiarity with distributed compute frameworks; Basic understanding of Kubernetes/Terraform; Exposure to streaming systems (Kafka, Pulsar); Experie

📌 Data engineer (Italia)
🏢 Renewcast
📍 Italia