Subsurface Data Engineer: Seismic & Drilling AI Pipelines

Tieto Deutschland GmbH; Łódź; On-site; PLN 120,000 - 180,000; Full time

Job summary

Tieto Deutschland GmbH in Łódź seeks a developer blending Python, SQL, and data platform experience to work with subsurface and drilling data, including wells, logs, seismic metadata, and related datasets. You will discuss data challenges with SMEs and leverage standard sources like Petrel and DISKOS.

The role involves building pipelines, data products, and QC dashboards; enabling AI workflows and integrating metadata for cataloguing.

Qualifications

• Domain knowledge of subsurface data objects and relationships; familiarity with data sources like Petrel, DISKOS, Collabor8 is advantageous.
• Data & technology: Python, SQL, Snowflake, Azure, Power BI / Streamlit; Geo apps Petrel, ArcGIS are pluses.
• AI utilisation: awareness of cloud-native seismic AI services and Microsoft AI tools.
• Soft skills & ways of working: strong stakeholder management, English mandatory, proactive, pragmatic problem solver; agile with SMEs and 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.

Skills

Python

SQL

Snowflake

Azure

Power BI

Streamlit

Petrel

ArcGIS

AI workflows

Tools

Petrel

ArcGIS

Job description

Tieto Deutschland GmbH in Łódź seeks a developer blending Python, SQL, and data platform experience to work with subsurface and drilling data, including wells, logs, seismic metadata, and related datasets. You will discuss data challenges with SMEs and leverage standard sources like Petrel and DISKOS.

The role involves building pipelines, data products, and QC dashboards; enabling AI workflows and integrating metadata for cataloguing.