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.

What You Will Do:

- 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

Why This Role:

- 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

What You Bring:

- 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

Interested in learning more? Reach out to Elite Technical today to discuss this opportunity further.

Required Skills

Technical Skills:

- Python Programming
- Advanced knowledge of Python for data processing, ETL development, and automation.
- Experience with popular libraries: pandas, numpy, pySpark.
- 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 NoSQL (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).