🛠 Tech Stack

💼 About This Role

You'll own data onboarding and build scalable, reliable data pipelines that power analytics for a leading investment data firm. You'll work closely with analysts and product teams to operationalize data within Palantir Foundry and cloud compute. Note: Foundry experience is a plus but not required.

🎯 What You'll Do

• Ingest data from internal systems, APIs, databases, and real-time feeds.
• Build and operate scalable ETL/ELT pipelines using Python, PySpark, and SQL.
• Model and operationalize data for analytics and operational apps.
• Ensure data quality through testing, observability, and access controls.
• Collaborate with analysts and product teams on data solutions.

📋 Requirements

• 1-3 years in data engineering with production pipeline delivery.
• Proficiency in Python and PySpark for distributed processing.
• Strong SQL for analytical and transformation logic.
• Experience with data ingestion from APIs, databases, and real-time sources.

✨ Nice to Have

• Experience with Palantir Foundry pipelines and transforms.
• Knowledge of Spark execution concepts like partitions and caching.
• Exposure to Databricks or cloud-native compute.

🎁 Benefits & Perks

• 🏖️ 28 days annual leave
• 🏋️ AXA Gym Membership Discount
• 🏥 Healthshield Cashback plan
• 📱 Healthshield Perks platform
• 🌐 Flexible hybrid work environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min