Palantir Foundry Data Engineer (ETL/PySpark)

Palantir Foundry Data Engineer (ETL/PySpark)

Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
LA International

At a Glance

  • Tasks: Build scalable ETL solutions and integrate data using Python and PySpark.
  • Company: LA International, a leader in tech solutions with a focus on innovation.
  • Benefits: 12-month contract, hybrid work model, and opportunities for skill development.
  • Other info: Collaborate with business stakeholders to deliver analytics-ready data products.
  • Why this job: Join a dynamic team and make an impact with cutting-edge data engineering.
  • Qualifications: Experience with Palantir Foundry, Python, and PySpark is essential.

The predicted salary is between 50000 - 65000 Β£ per year.

LA International is seeking a Data Engineer for a 12-month contract in London.

The role involves hands-on Palantir Foundry work, building ontologies, pipelines, and scalable ETL solutions using Python and Py Spark.

The position requires integration of data from multiple sources, optimization of Spark-based processing, and collaboration with business stakeholders to deliver analytics-ready data products.

Hybrid onsite work in London is expected.

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Palantir Foundry Data Engineer (ETL/PySpark) employer: LA International

LA International is an excellent employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Amazon Connect Engineers to thrive. With a focus on employee growth and development, the company offers opportunities for skill enhancement and career progression, all while working in a hybrid environment that promotes work-life balance. Located in a vibrant area, employees benefit from a dynamic atmosphere that encourages creativity and teamwork, ensuring a rewarding and meaningful employment experience.

LA International

Contact Details:

LA International Recruitment Team

We think you need these skills to ace Palantir Foundry Data Engineer (ETL/PySpark)

Python
SQL
Problem-Solving Skills
Data Pipeline Development
Data Engineering
Communication Skills
API Integration