Data Engineer (RO)
QuantiosLocation not specified
Posted March 13, 2026
Full Time
About the Company
Quantios is a global SaaS leader that empowers the Wealth, Trust, and Corporate Services industry with a 50‑year legacy of expertise. The company’s platform delivers AI‑driven automation, actionable insights, and rigorous compliance controls to more than 600 organizations worldwide. Designed specifically for Trust and Company Service Providers (TCSPs), Quantios streamlines operations across multiple jurisdictions, helping clients scale smarter while reducing costs. Its unique blend of deep industry knowledge, advanced technology, and a focus on regulatory excellence sets Quantios apart as a transformative partner in the sector.
Job Description
As a Data Engineer at Quantios, you will build and maintain the data foundation for Quantios Insights, an enterprise data platform that integrates data from all Quantios products and powers advanced analytics, MCP-based automation, and AI-driven use cases.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field
- 4+ years of experience in data engineering, preferably within cloud-based or enterprise environments
- Hands-on experience with one or more: Microsoft Fabric, Azure Databricks, Snowflake
- Strong skills in Python and SQL, with exposure to PySpark or Spark SQL
- Experience with Azure Data Lake Storage, Delta Lake, ELT/ETL pipelines, and medallion architecture
- Familiarity with Power BI, Fabric semantic models, or equivalent BI modelling tools
- Practical experience integrating with CI/CD tools, especially Azure DevOps
- Understanding of data governance, cataloguing, and metadata management (e.g., Purview, Unity Catalog)
- Exposure to AI-related data preparation (RAG datasets, embeddings, unstructured text processing) is a plus
