Senior Engineer - Data Science

Key Responsibilities

• Data Pipeline Development – Design, build, and maintain scalable data pipelines for data ingestion, transformation, and integration
• Data Platform Management – Develop and optimize data infrastructure, warehouses, and processing platforms
• Data Integration & Automation – Integrate data from multiple sources using APIs, streaming, and automated workflows
• Data Quality & Reliability – Implement data validation, monitoring, and quality controls to ensure accurate and consistent data
• Performance & Scalability – Optimize data processing, storage, and computing resources for efficiency and growth
• Data Security & Governance – Implement of access controls, data protection, and governance requirements
• Analytics & AI Enablement – Deliver trusted, analysis-ready datasets to support data science, AI, business intelligence, and data monetization

Person Specifications

• Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field
• 4+ years of experience in data engineering, data platform development, or related data-focused roles
• Hands-on experience in designing and maintaining scalable data pipelines, data platforms, and integration solutions
• Strong proficiency in SQL, Python, and modern data engineering tools and frameworks
• Experience with data warehousing, ETL/ELT processes, APIs, streaming technologies, and workflow automation
• Knowledge of data quality management, monitoring, governance, and security best practices
• Ability to optimize data performance and deliver trusted, analysis-ready datasets to support analytics, AI, and business intelligence initiatives

Vendor submissions - 12 months