Data Engineer - Industrial and Refinery Data

About the role

We are looking for a Data Engineer to design, build and maintain reliable data pipelines that handle high-volume structured and time-series data for industrial and refinery operations. The role will support integration of diverse sources such as historians, laboratory systems, maintenance and engineering data.

Key responsibilities

• Develop and operate scalable ETL/ELT pipelines for large-scale data ingestion.
• Integrate data from OSI PI or equivalent historians, LIMS, CMMS/SAP and streaming platforms.
• Implement data modelling, metadata management, lineage tracking and security controls.
• Ensure data quality, consistency and availability for downstream analytics and AI-ready platforms.
• Collaborate with domain experts to contextualize tag-level data within equipment and process hierarchies.

Required profile

• Strong experience building data pipelines for high-volume structured and time-series data.
• Hands-on knowledge of SQL, Python and API integration.
• Understanding of data quality, metadata, lineage, security and access controls.
• Familiarity with feature stores, vector databases or AI-ready data platforms.

Required skills

• SQL
• Python
• APIs
• Data modelling
• ETL / ELT frameworks
• Data quality management
• Metadata and lineage
• Security and access controls
• Feature stores
• Vector databases
• AI-ready data platforms
• OSI PI (or equivalent historian)
• LIMS
• CMMS / SAP
• Streaming platforms