Subsurface Data Engineer: Drilling Data & AI Pipelines

Tieto; Łódź; On-site; PLN 180,000 - 280,000; Full time

Job summary

Tieto in Łódź is seeking a developer who combines Python, SQL, and data platform experience to build pipelines for subsurface and drilling data. You will discuss data objects like wells, trajectories, logs, markers, seismic cubes, geomodels, and production profiles with SMEs.

You will leverage Petrel, DISKOS and other data sources, develop QC dashboards, and enable AI/ML workflows on seismic metadata. Collaboration with geophysicists is essential.

Qualifications

• Domain expertise: Sound understanding of subsurface data objects and the relationships between them. Familiarity with standard data sources, Petrel, DISKOS, Collabor8 etc. is an advantage.
• Data & technology: Python, SQL, Snowflake, Azure, Power BI / Streamlit. Experience with Geo applications Petrel, ArcGIS is an advantage.
• AI utilisation: Awareness of cloud-native seismic AI services and assistant patterns; familiarity with Microsoft AI suite.

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 (classification, similarity search) and integrate with commercial seismic ML tools.
• Partner with geophysicists and SMEs to translate seismic workflows into reusable data and AI solutions.

Skills

Python

SQL

English communication

Tools

Snowflake

Azure

Power BI

Streamlit

Petrel

DISKOS

Job description

Tieto in Łódź is seeking a developer who combines Python, SQL, and data platform experience to build pipelines for subsurface and drilling data. You will discuss data objects like wells, trajectories, logs, markers, seismic cubes, geomodels, and production profiles with SMEs.

You will leverage Petrel, DISKOS and other data sources, develop QC dashboards, and enable AI/ML workflows on seismic metadata. Collaboration with geophysicists is essential.