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Job description
As a Data Engineer Lead, you will provide technical and team leadership in designing, building, and optimizing scalable enterprise data architectures and high-quality data pipelines that deliver trusted, actionable insights across the business. You will lead and develop a high-performing data engineering team, driving strong high-quality engineering standards ensuring consistent delivery of secure, reliable, and well-governed data assets that power business intelligence, analytics, and AI-driven decision-making.
You will oversee the end-to-end data lifecycle ensuring production data remains accurate, timely, and enterprise ready. By embedding data quality, governance, reconciliation, and performance optimization into pipeline design, you will enable scalable analytics and advanced AI/ML use cases.
This role requires a strong technical background in data engineering, experience in leading high-performing teams, and excellent communication and stakeholder engagement skills.
Company
Healthcare
Takeda is a global biopharmaceutical company that develops and markets innovative therapies in oncology, gastroenterology, and vaccines. Leveraging more than two centuries of scientific expertise, the company prioritizes patient-centric research and collaboration with healthcare providers to identify unmet medical needs. Its portfolio includes cutting-edge pharmaceuticals that set new therapeutic standards while adhering to rigorous ethical and regulatory practices. Takeda’s culture of bold innovation, combined with a commitment to social responsibility, positions it as a leader in the biopharma sector and an attractive workplace for professionals seeking purpose-driven impact.
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