Senior Data Engineer

About Us

Senior Data Engineer

Analytics

Machine Learning

What You’ll Do

• Design, build, and maintain robust, scalable, and efficient data pipelines (batch and real-time) to support ML model training, inference, and business intelligence
• Partner closely with the product team to deliver the datasets, pipelines, and tooling needed for advanced analytics
• Develop and optimize our data lake, data warehouse, and feature stores to ensure accuracy, consistency, and accessibility of data across teams
• Implement data quality frameworks and monitoring solutions to ensure trust in the data
• Lead the adoption of best practices in data modeling, ETL/ELT, orchestration, and cloud-based data platforms (e.g., GCP, Azure).
• Contribute to the architecture and design of the company's next-generation data platform to enable real-time insights and machine learning at scale.
• Mentor junior engineers and collaborate across cross-functional teams including Product, Engineering, and AI
• Location: Full Remote
  

What We’re Looking For

• 5+ years of hands-on data engineering experience in cloud-native environments.
• Proficient in building ETL/ELT pipelines using tools such as Spark/PySpark
• Strong experience with SQL, Python, and distributed data systems (e.g., Delta Lake)
• Solid understanding of data architecture patterns (data lake, lakehouse, warehouse) and data governance
• Experience working with machine learning teams (e.g., building feature pipelines, model scoring pipelines, real-time inference) is highly desirable
• Strong familiarity with BI tools (e.g., PowerBI) and supporting self-service analytics
• Prior experience in FinTech, Trade Finance, or Financial Services is a strong plus
• Excellent problem-solving, communication, and stakeholder management skills
  

Nice To Have

• Familiarity with MLOps practices and tooling
• Exposure to regulatory compliance and risk modeling in the finance domain
• Experience in Anti-Money Laundering in the trade space
  

Why Join Us?

• Be part of a mission-driven team reshaping global trade finance
• Work on cutting-edge data problems supporting both real-time decision-making and machine learning
• Competitive compensation, equity, and benefits.
• Flexible, collaborative, and innovative work culture