Your roles and responsibilities include :

Working alongside seasoned professionals in Product Management, Product Development, and AI & Automation, you will lead a team of Data Engineers that plays a pivotal role in developing new data products and bringing them to market.

• Lead and mentor a high-performing team of data engineers; set technical direction and delivery standards.
• Design and build data pipelines to onboard, extract, load, transform, and enrich new data sources.
• Apply domain knowledge of financial data to curate datasets and accelerate product development.
• Partner with Product Management and Product Development to analyze, validate, and transform datasets into finished products.
• Collaborate with AI & Automation to advise on and adopt AI-powered workflow tools that scale delivery and drive efficiency.
• Implement robust data quality checks and monitoring to ensure completeness, accuracy, timeliness, and reliability.

We expect you to have: (Minimum Qualifications)

• Minimum 10+ years Programming experience in Python, Spark, SQL, Java, and/or Unix shell scripting and atleast 2+ years’ experience leading a high-performing team.
• Strong foundation in exploratory data analysis, data onboarding, and data pipelines.
• Proven knowledge of financial markets data analysis (e.g., stock market prices and volumes).
• Cloud and systems experience in AWS (S3/EC2), Databricks, and Linux.
• Solid understanding of Git or other version control software.
• Strong organizational and communication skills (verbal and written); comfortable in a fast-paced, startup-style environment.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline.