Description
Arcurve is hiring a Data Engineer to build and operate production data pipelines and MLOps platforms that move data from sources to machine-learning models and business decisions. The role covers batch and streaming pipelines, data quality, cloud infrastructure, observability, model deployment and monitoring, semantic layers, and collaboration with data scientists and client teams. It requires a technical degree or equivalent experience, strong SQL and Python, Databricks or Snowflake, Spark, pipeline orchestration, MLOps, cloud, containerization, CI/CD, and data-modelling expertise. The position offers hybrid work, flexible scheduling, and contract or employment opportunities.
