Data Engineer (Fintech)

TL;DR

Data Engineer (Fintech): Building and operating scalable data pipelines to power analytics and operational workflows with an accent on data onboarding, ETL/ELT patterns, and data modeling. Focus on integrating diverse data sources into Palantir Foundry and Databricks to ensure high data trust and observability.

Location: Hybrid (Paris, France)

Company

hirify.global provides enterprise data management solutions for the global investment community, managing intelligence for over $75 trillion in assets.

What you will do

• Build and operate scalable ETL/ELT pipelines using Python, PySpark, and SQL.
• Onboard datasets from internal systems, APIs, databases, files, and real-time feeds.
• Model and operationalize data entities and relationships in collaboration with domain experts.
• Implement data quality checks, observability, alerting, and lineage.
• Collaborate with analysts and product teams to define robust data contracts and SLOs.

Requirements

• 1-3 years of experience in data or analytics engineering with production pipeline delivery.
• Proficiency in Python and PySpark for distributed data processing.
• Strong SQL skills for analytical and transformation logic.
• Experience with data modeling for both analytics and operational use cases.
• Solid grasp of data quality, testing, and governance practices.
• Must be based in or able to work from Paris, France

Nice to have

• Experience with Databricks or Palantir Foundry.
• Deep understanding of Spark execution concepts (partitions, shuffles, caching).
• Experience with financial or enterprise operational data.
• Knowledge of AI-assisted ETL/ELT or streaming frameworks.

Culture & Benefits

• Competitive pay and bonus eligibility.
• Flexible hybrid work environment.
• Commitment to diversity and inclusion throughout the business.