Data Scientist: Palantir Foundry & SAP (Energy)

Computer Futures; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Computer Futures seeks an experienced Data Scientist with strong Palantir Foundry expertise to design, build, and optimize enterprise-scale data solutions supporting a global SAP transformation programme. You will integrate data from SAP and non-SAP systems and build scalable pipelines across cloud environments.

The role requires experience in Energy-related industries and advanced analytics ecosystems, including Databricks, PySpark, and Power BI, with emphasis on data governance and security.

Qualifications

• Experience as a Data Scientist in highly regulated industrial environments (Energy / Oil & Gas / Nuclear).
• Strong Palantir Foundry expertise to design, build and optimize enterprise data solutions.
• Extensive experience with large-scale data platforms, cloud technologies, and advanced analytics ecosystems.
• Proven ability to integrate data from SAP and non-SAP systems for data-driven decisions.
• Strong SQL development and data modelling capabilities; knowledge of data governance and quality.

Responsibilities

• Design, develop and deploy data science and data engineering solutions within Palantir Foundry.
• Build and optimize enterprise data pipelines for global transformation programs.
• Develop and maintain ETL/ELT pipelines ingesting SAP and third-party data.
• Collaborate with SAP teams to integrate critical data into analytics platforms.
• Design data workflows and orchestration across cloud environments.

Skills

Palantir Foundry

Databricks

PySpark

SQL

Power BI

Data modelling

Data governance

Agile delivery

Cloud platforms

Tools

Palantir Foundry

Databricks

Power BI

Azure Data Factory

AWS

Azure

Enterprise data platforms

Job description

Computer Futures seeks an experienced Data Scientist with strong Palantir Foundry expertise to design, build, and optimize enterprise-scale data solutions supporting a global SAP transformation programme. You will integrate data from SAP and non-SAP systems and build scalable pipelines across cloud environments.

The role requires experience in Energy-related industries and advanced analytics ecosystems, including Databricks, PySpark, and Power BI, with emphasis on data governance and security.