DataOrbis operates as a data consulting and ML engineering firm focused on FMCG, built on Python, Spark, Databricks, and cloud platforms (Azure, GCP, BigQuery). The stack emphasizes ML tooling (PyTorch, TensorFlow, scikit-learn) and orchestration (Airflow, dbt), with active projects spanning lakehouse development, streaming pipelines, and model productionization. Hiring is data and engineering-heavy with senior-level focus, signaling expansion into platform and automation work rather than pure services.
DataOrbis is a data management and insights firm headquartered in Cape Town, operating since 2011 and serving predominantly FMCG companies and their supply chains. The business combines consulting, data integration, and ML engineering: they source and process data from multiple touchpoints across client value chains, build cloud-native data infrastructure, and deploy ML models for retail and consumer goods forecasting and optimization. Current project work includes lakehouse architecture, automated supplier data feeds, streaming pipeline development, and ML pipeline productionization on Databricks and Vertex AI.
Python, Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Databricks, Azure, GCP, BigQuery, Apache Spark, dbt, Apache Airflow, Delta Lake, Microsoft Fabric, and SQL Server.
Primarily fast-moving consumer goods (FMCG). Projects include retail forecasting, supply chain optimization, and multi-market data transformation for FMCG clients.
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