Subsurface & Drilling Data Engineer — AI-Ready Pipelines

Tieto; Wrocław; On-site; PLN 120,000 - 180,000; Full time

Job summary

Tieto in Poland is seeking a developer who combines Python, SQL and data tooling to build pipelines for subsurface and drilling data. You will work with wells, trajectories, logs, seismic cubes, and geomodels, discuss challenges, and leverage data sources like Petrel and DISKOS.

You will build data products, QC dashboards, integrate metadata for cataloguing, and enable AI/ML workflows. Collaboration with geophysicists and SMEs in an agile, cross-functional team is expected.

Qualifications

• Domain expertise: Understanding subsurface data objects and relationships.
• Data & technology: Python, SQL, Snowflake, Azure, Power BI / Streamlit; Geo apps Petrel, ArcGIS advantageous.
• AI utilisation: Awareness of cloud-native seismic AI services; familiarity with Microsoft AI suite.
• Soft skills & ways of working: Strong stakeholder management and communication skills (English mandatory, Norwegian a plus); proactive, structured, pragmatic problem solver; agile with SMEs, product owners and a multi-discipline data platform team.

Responsibilities

• Specify, develop data pipelines for subsurface and drilling data flows.
• Build and maintain data products (for seismic, well data) on the data platform.
• Align with teams supporting and creating production data products.
• Develop QC dashboards for data products.
• Integrate seismic and well metadata for cataloguing
• Enable AI / ML workflows on seismic and well metadata and integrate with commercial seismic ML tools.
• Partner with geophysicists and SMEs to translate seismic workflows into reusable data and AI solutions.

Job description

Tieto in Poland is seeking a developer who combines Python, SQL and data tooling to build pipelines for subsurface and drilling data. You will work with wells, trajectories, logs, seismic cubes, and geomodels, discuss challenges, and leverage data sources like Petrel and DISKOS.

You will build data products, QC dashboards, integrate metadata for cataloguing, and enable AI/ML workflows. Collaboration with geophysicists and SMEs in an agile, cross-functional team is expected.