Data Engineer (Capital Market)

Key Responsibilities

• Design and implement scalable data pipelines for market, reference, and transactional data.
• Develop ETL processes to ingest data from trading platforms, market data providers, and internal systems.
• Collaborate with trading desks, risk teams, and compliance to understand data requirements.
• Ensure data integrity, lineage, and governance across systems.
• Optimize data storage and retrieval for real-time and batch processing.
• Support regulatory reporting and analytics through reliable data infrastructure.
• Maintain documentation and contribute to data architecture decisions.

Required Skills

• Strong proficiency in Python, SQL, and data modeling.
• Experience with capital markets data (e.g., equities, fixed income, derivatives).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of data governance frameworks and metadata management.
• Experience with Kafka, Spark, Airflow, or similar tools for data orchestration.

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication with both technical and non-technical stakeholders.
• Ability to thrive in a fast-paced, high-stakes trading environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Finance, or related field.
• 5–7 years of experience in data engineering, preferably in financial services.