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Data Engineer (Contractor)

A financial operating system providing corporate cards, cross-border payments, and spend management software within one unified platform, operating across 20+ countries.
Data
Mid-Level Software Engineer
Remote
101 - 500 Employees
3+ years of experience
Finance

Job Description

Jeeves, a pioneering fintech company valued at over $380M and backed by prestigious investors like Andreessen Horowitz and Y Combinator, is seeking a Data Engineer to scale their data infrastructure. The role focuses on building and maintaining robust data pipelines that power their global payments platform, which serves over 5,000 clients across 20+ countries. The position offers the opportunity to work with modern data stack technologies including dbt, Airflow, and cloud platforms.

As a Data Engineer, you'll be instrumental in developing and optimizing data models that support everything from operational reporting to product insights. The role requires expertise in ETL/ELT processes, strong SQL skills, and proficiency in Python. You'll work in a collaborative environment, interfacing with engineering, product, and analytics teams to deliver scalable solutions.

The position is fully remote, offering flexibility while working on high-impact data systems. You'll have the chance to own and influence core data infrastructure from early stages, working alongside a smart, driven team that values autonomy and continuous improvement. The role is perfect for someone passionate about building clean, reliable data systems with experience in high-volume transactional or payments data.

Jeeves has received notable recognition, including being listed among The Information's 50 Most Promising Startups in 2023 and winning "Fintech of the Year" at the European Fintech Awards. The company's mission to empower businesses with efficient financial solutions worldwide makes this an exciting opportunity for a data professional looking to make a significant impact in the fintech space.

Last updated 3 days ago

Responsibilities For Data Engineer (Contractor)

  • Design, build, and maintain ETL/ELT pipelines using dbt and Apache Airflow
  • Develop and optimize data models for analytics, dashboards, and data science workflows
  • Collaborate with engineering, product, and analytics teams
  • Monitor and improve data pipeline performance and reliability
  • Implement data quality checks and anomaly detection
  • Manage and optimize cloud data warehouse usage
  • Contribute to internal tooling and documentation

Requirements For Data Engineer (Contractor)

Python
  • 3+ years of experience as a Data Engineer or similar role
  • Strong experience with dbt for data modeling and transformation
  • Proficiency with Airflow or other orchestration tools
  • Deep understanding of SQL and data warehousing concepts
  • Experience with cloud-based data warehouses
  • Solid programming skills in Python
  • Strong grasp of data architecture
  • Familiarity with version control (Git) and CI/CD workflows
  • Strong experience with data governance principles

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