Data Engineering Engineer

Posted Yesterday
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Santa Fe, Zapotlanejo, Jalisco, MEX
Hybrid
Mid level
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Takeda exists to create better health for people, brighter future for the world.
The Role
Designs and maintains scalable data pipelines and data models using AWS and Databricks for pharmaceutical manufacturing operations. Enables process trending, real-time analytics, predictive analytics, and business intelligence across global manufacturing sites. Collaborates with analytics and business teams, resolves technical issues, supports regulated GxP environments, and ensures compliance with quality, software development, and project lifecycle standards.
Summary Generated by Built In

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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-driven capabilities, we are improving the lives of millions of patients around the world.

Mexico City has been selected to be home to Takeda’s recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital and technology fields. 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.

  

About the role:

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. 

  

How you will contribute:

  • 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. 

What you bring to Takeda:

  • 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), 

  • 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. 

What Takeda’s ICC Can Offer You

At Takeda, you take the lead on building and shaping your own career.

Joining the ICC in Mexico City will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

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

  • Monthly Supermarket and Food Vouchers

  • Flexible Working Schemes

  • Comprehensive Healthcare Insurance Plans: Life, Medical, Dental & Vision

  • Additional Time Off

  • Diversity, Equity, and Inclusion Programs

Work Location: Mexico City – Santa Fe.

Hybrid model with a minimum in-office requirement of at least 10 (ten) days per month.

If you have further inquiries on the ICC Mexico City or this role, follow us on LinkedIn, and look up for our upcoming online events where we will elaborate on open roles and host Q&A sessions.

LocationsMEX - Santa Fe

Worker TypeEmployee

Worker Sub-TypeRegular

Time TypeFull time

Skills Required

  • Bachelor’s degree in Computer Science, a technical or natural science with an IT focus, or equivalent
  • In-depth knowledge of SQL and relational databases
  • Strong expertise in data modeling and modern database technologies, including Databricks, Oracle, and MongoDB
  • Basic understanding of batch-based manufacturing processes
  • Understanding of shop-floor systems such as MES, ERP, LIMS, and Historian systems
  • Understanding of Agile and Scrum methodologies
  • Understanding of engineering practices including DevSecOps and source-code versioning
  • Excellent written and verbal communication skills
  • Fluency in English
  • Three or more years of experience in data engineering or a related field
  • Experience with analytics applications such as Biovia Discoverant, Simca Online, PAS-X Savvy, or Siemens gPROMS
  • Experience in a highly regulated industry, such as pharmaceutical or chemical manufacturing
  • Experience with AWS, including S3, EC2, and Terraform
  • Experience with Computer Systems Validation and GAMP
  • Understanding of data science workflows, including machine learning or deep learning

Takeda Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Takeda and has not been reviewed or approved by Takeda.

  • Retirement Support — Employer-funded retirement is described as notably strong, combining a dollar-for-dollar 401(k) match with an additional company contribution that scales with age and service. Access to an employee stock purchase plan further supports long-term wealth building.
  • Parental & Family Support — Paid bonding leave for all parents, substantial adoption/surrogacy reimbursement, and robust caregiver resources (backup care and Maven family-forming support) are emphasized as core strengths. These offerings create a comprehensive safety net for a range of family situations.
  • Healthcare Strength — Multiple medical plan options (nationwide PPO/HSA and regional HMOs), employer HSA funding, and integrated mental-health and well-being programs signal depth in coverage. Preventive care is covered in-network, and plan choices by state expand access.

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The Company
HQ: Cambridge, MA
50,000 Employees
Year Founded: 1781

What We Do

For over 240 years, Takeda’s propensity to evolve has driven the next generation of innovation, and as a future-focused organization, we’re continuing to drive forward with endurance in our steadfast pursuit to achieve the best outcomes for our patients in a rapidly changing world.  We have been preparing for this period of value creation by investing in data, digital and technology, and we’re proud of our employees and their commitment to turning groundbreaking ideas into life-changing impacts.   Since our founding in Japan, integrity and putting patients first have been at the heart of our identity, and we will emerge ready for our future as one of the most trusted and science-driven digital biopharmaceutical companies. Join a team where your innovation impacts lives.   Together, we’ll realize improved outcomes by improving data quality, enhancing launch execution and improving the patient journey. You’ll play a critical role in accelerating data collection and increasing accuracy across all parts of the business. Patients across the globe will benefit from access to treatments afforded by greater opportunities and efficiency in our research and development.  

Why Work With Us

We connect to our history and Japanese heritage through everything we do to bring our purpose, values, vision, and imperatives to life. We are committed to bringing better health and a brighter future to patients. Being a part of Takeda means having the opportunity to be a part of something bigger than yourself.

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