Negotiable
Undetermined
Remote
Remote
Summary: The role of Senior Data Engineer focuses on leveraging Palantir expertise to design and optimize large-scale data solutions. The candidate will engage in various data engineering tasks, including ingestion, transformation, and analytics, primarily using Palantir Foundry. This position requires strong programming skills and experience with cloud platforms. The role is fully remote, allowing for flexibility in work arrangements.
Key Responsibilities:
- Design, build, and optimize enterprise-scale data solutions using Palantir Foundry.
- Work on data ingestion, transformation, modeling, and analytics.
- Utilize Foundry Pipeline Builder, Code Workbooks, Contour, Workshop, and Ontology.
- Develop ETL/ELT processes and implement data warehouse concepts.
- Collaborate with cloud platforms (AWS / Azure / Google Cloud Platform) for distributed data processing.
- Integrate APIs and automation frameworks for data solutions.
- Ensure data governance, security, and access controls are maintained.
Key Skills:
- Strong hands-on experience with Palantir Foundry Data Engineering.
- Proficiency in Foundry Pipeline Builder, Code Workbooks, Contour, Workshop, and Ontology.
- Strong programming skills in Python, PySpark, and SQL.
- Experience with data modeling, ETL/ELT development, and data warehouse concepts.
- Familiarity with cloud platforms (AWS / Azure / Google Cloud Platform) and distributed data processing.
- Knowledge of APIs, data integration patterns, and automation frameworks.
- Strong understanding of data governance, security, and access controls.
Salary (Rate): £70,000 yearly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
We are looking for an experienced Data Engineer with Palantir expertise to design, build, and optimize enterprise-scale data solutions. The candidate will work on data ingestion, transformation, modeling, analytics, and operational data applications using Palantir Foundry and related technologies.
Required Skills:
Strong hands-on experience with Palantir Foundry Data Engineering.
Experience with Foundry Pipeline Builder, Code Workbooks, Contour, Workshop, and Ontology.
Strong programming skills in Python, PySpark, SQL.
Experience with data modeling, ETL/ELT development, and data warehouse concepts.
Experience with cloud platforms (AWS / Azure / Google Cloud Platform) and distributed data processing.
Knowledge of APIs, data integration patterns, and automation frameworks.
Strong understanding of data governance, security, and access controls.