Data Engineering Engineer

Data Engineering Engineer works closely with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions, enabling advanced data-driven decision-making capabilities by generating insights from connected data, contributing to Takeda's mission.

Requirements

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
• Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various data tools in the Big Data Environment
• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
• Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
• Collaborate with AI/ML Engineers to create data products for analytics and data scientist team members to improve their productivity
• Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices

Benefits

• Competitive salary + Annual performance bonus
• Monthly food and meal vouchers
• Flexible work arrangements
• Comprehensive health insurance plans: life, medical, dental, and vision
• Diversity, equity, and inclusion programs