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Takeda

Process Data Engineer

Sorry, this job was removed at 12:18 a.m. (IST) on Thursday, Oct 15, 2026
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Mid level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Mid level

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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 Data Engineer, you will be a key player in transforming the way various teams work with data across all production sites of the Global Manufacturing and Supply Organization (GMS). 

With this you will help to improve our product quality and reduce loss while increasing efficiency, which has a direct impact on our ability to serve our patients with vital products. 

  

Responsibilities 

  • Contribute to the data engineering of existing and new IT Systems to design, to analyze and implement complex manufacturing data driven solutions, with an impact on the daily operation of our manufacturing processes and facilities. 
  • Enable data analytics (process trending, process modelling, real-time analytics, and predictive analytics) in a GxP environment from an IT perspective for all GMS sites  
  • Develop and maintain scalable data pipelines using AWS native technologies and Databricks to support increasing data sources, volumes, and complexity. 
  • Drive identification of technical issues, problem-solving and escalating issues appropriately. 
  • Ensure Digital Products and Platforms are built efficiently, scalable and on state-of-the-art technology. 
  • Provides guidance to business partners and solves complex technical changes and implementations. 
  • Follow company and departmental policies, procedures and ensure documentation according to the Takeda Quality Management Systems (QMS), Software Development Life Cycle and Project Life Cycle standards. 
  • Collaborate with analytics and business teams to improve data models that enhance business intelligence tools and dashboards, fostering data-driven decision-making across the organization. 

Skills and Qualifications 

  • Bachelor’s Degree in Computer Science or in a Technical/Natural Science (with focus on IT) or equivalent, 
  • In-Depth knowledge of SQL and Relational Databases, 
  • Strong expertise in data modeling, and modern database technologies (Databricks, Oracle, MongoDB), 
  • Basic understanding of batch-based manufacturing processes, 
  • Understanding of Shop-Floor systems (MES, ERP, LIMS, Historian, etc.), 
  • Understanding of Agile/SCRUM methodologies, 
  • Understanding of good engineering practices (DevSecOps, source-code versioning, automated testing, ...), 
  • Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams, 
  • Fluency in English. 

Nice to Have 

  • 3+ years of experience in data engineering, or a related field, 
  • Experience with one more of the following analytics applications (Biovia Discoverant, Simca Online, PAS-X Savvy, Siemens gPROMS), 
  • Experience with working in a highly regulated industry (e.g. pharmaceutical - or chemical industry) 
  • Experience with AWS (S3, EC2, Terraform), 
  • Experience in Computer Systems Validation GAMP, 
  • Understanding of Data Science workflows, including Machine Learning and / or Deep Learning. 

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
  • Employee Assistance Program
  • Broad Variety of learning platforms
  • Diversity, Equity, and Inclusion Programs
  • 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.

LocationsIND - Bengaluru

Worker TypeEmployee

Worker Sub-TypeRegular

Time TypeFull time

Takeda Bengaluru, Karnataka, IND Office

12th floor, Block 3B, Bhartiya Centre of Information Technology, BHARTIYA CITY, Takeda Innovation India Pvt. Ltd, Thanisandra, Bengaluru, Karnataka, India, 560064

What you need to know about the Bengaluru Tech Scene

Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.

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