Python Data Engineer; Palantir

Python Data Engineer (Palantir) Our client, a multinational telecommunications technology company, is looking for a Data Engineer to join their team on an urgent basis. This is a chance to work hands-on with Palantir's platforms, tackle complex data challenges at scale, and make a direct impact on how a global organization uses data to drive decisions. If you are proficient in Python and have hands-on Palantir experience (Foundry, Gotham, or similar tools), this role offers real ownership from day one.

• Design and build scalable ETL/ELT pipelines, both batch and streaming, that power critical analytics
• Orchestrate complex workflows using Airflow, Palantir Pipeline Builder, and similar tools
• Architect efficient schemas and indexing strategies, and optimize queries for performance at scale
• Own data quality end to end: validation, profiling, and error handling to ensure trustworthy data across the organization

• Work directly with Palantir's platforms in a high-impact, high-visibility environment
• Solve real engineering problems within complex, large-scale data ecosystems
• Grow your skills alongside experienced technical teams at a major global company
• Play a key role in building the data infrastructure that supports critical business decisions

• Strong Python proficiency
• Hands-on experience with Palantir Foundry, Gotham, or related Palantir tools
• Solid understanding of data pipeline design, orchestration, and data quality best practices

• Python Programming
• Advanced knowledge of Python for data processing, ETL development, and automation.
• Experience with popular libraries: pandas, numpy, py Spark.
• Ability to write clean, efficient, and modular code following best practices.
• Palantir Platforms
• Practical experience on Palantir Foundry or Gotham (pipelines, data lineage, data modeling).
• Development, management, and optimization of pipelines and data assets in Palantir environments.
• Familiarity with Palantir's ontology, tools for data transformation, and logic building blocks.
• Integration of external data sources with Palantir, leveraging APIs and connectors.
• Data Engineering & ETL
• Databases and Data Modeling
• Proficient in SQL; able to work with relational (e.g. PostgreSQL, MySQL) and No
  
  SQL (e.g. MongoDB) databases.
• Understanding data warehousing concepts
• Cloud & Big Data
• Experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (e.g. Spark, Hadoop).
• Familiarity with scalable storage solutions (S3, Blob storage, HDFS).