Senior Data Engineer
応募 後で応募 求人ID R0175075 掲載日 03/03/2026 Location:Bengaluru, IndiaBy clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
The Future Begins Here
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
At Takeda’s ICC we Unite in Diversity
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
The Opportunity:
As a Senior Data Engineer, you will design, build, and optimize scalable data pipelines and AI-ready data platforms that enable analytics, AI products, and intelligent automation at scale.
This role focuses on hands-on data engineering, product enablement, and delivering production-grade data solutions that ensure high data quality, governance, security, and AI readiness across the organization.
You will work across traditional data engineering, modern lakehouse platforms, and GenAI enablement, helping move solutions from experimentation to enterprise deployment.
Accountabilities
Design, build, and optimize scalable data pipelines for analytics, GenAI, and agentic use cases.
Develop and maintain datasets optimized for LLM consumption, feature stores, vector embeddings, semantic layers, and metadata-rich knowledge assets.
Build and support POCs and MVPs for GenAI and agentic use cases, validating feasibility, scalability, cost, and security before production rollout.
Develop data solutions integrating structured, semi-structured, and unstructured data to support analytics, LLMs, and autonomous agents.
Implement enterprise data models within Databricks and cloud platforms, including analytical and domain-oriented models.
Translate business and analytics requirements into conceptual, logical, and physical data models optimized for performance and AI consumption.
Develop and maintain ELT, streaming, orchestration, and automation workflows to support scalable data delivery.
Evaluate and implement lakehouse technologies, vector databases, LLM frameworks, and AI orchestration tools as required.
Support implementation of GenAI patterns such as Retrieval-Augmented Generation (RAG), tool-calling workflows, and human-in-the-loop processes.
Mitigate data, security, performance, and cost risks through engineering best practices.
Identify and implement AI-assisted automation across data engineering workflows.
Design and optimize pipelines for ingestion, transformation, feature engineering, and AI data delivery using SQL, Python, and cloud-native services.
• Produce high-quality technical documentation, data models, and POC artifacts.
Skills and Qualifications
Bachelor’s degree or higher in Computer Science or a related discipline, or equivalent experience.
5+ years of hands-on experience in data engineering and enterprise analytics systems.
Strong experience building lakehouse and cloud-native data platforms supporting analytics and AI workloads.
Experience contributing to GenAI or AI-driven POCs from development through production deployment.
Advanced data modeling experience across analytical and domain-oriented models.
Strong understanding of ELT, orchestration, data quality, observability, and scalable pipeline design.
Strong SQL expertise and working knowledge of Python for data and AI workflows.
Experience working within AWS-based data and AI ecosystems.
Ability to operate effectively in fast-moving environments with ambiguity, rapidly iterating on solutions.
Strong communication and collaboration skills across business, engineering, and AI teams.
Self-directed, outcome-oriented, and comfortable owning end-to-end data engineering delivery.
Preferred But Not Required
Hands-on experience with Databricks Lakehouse and Spark-based processing.
Exposure to GenAI implementations including LLMs, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and prompt pipelines.
Experience supporting agentic workflows, tool-calling frameworks, or AI orchestration layers.
Familiarity with Informatica or other enterprise ELT platforms.
Experience using GitHub and CI/CD practices for data and AI assets.
Working knowledge of ML lifecycle concepts, feature stores, and model observability.
Experience delivering POCs that transition into enterprise-grade production systems.
WHAT TAKEDA CAN OFFER YOU:
Takeda is a globally recognized Top Employer, investing heavily in people, learning, and innovation. Opportunity to lead GenAI and agentic architecture initiatives that move beyond experimentation into real business impact. Access to advanced platforms, continuous upskilling, and a collaborative ecosystem at the ICC in Bengaluru.
BENEFITS:
It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:
Competitive Salary + Performance Annual Bonus
Flexible work environment, including hybrid working
Comprehensive Healthcare Insurance Plans for self, spouse, and children
Group Term Life Insurance and Group Accident Insurance programs
Health & Wellness programs including annual health screening, weekly health sessions for employees.
Employee Assistance Program
5 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
Broad Variety of learning platforms
Diversity, Equity, and Inclusion Programs
No Meeting Days
Reimbursements – Home Internet & Mobile Phone
Employee Referral Program
Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
ABOUT ICC IN TAKEDA:
Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.
As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
#Li-Hybrid