Data Engineer

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Delegación Cuajimalpa de Morelos, Cuajimalpa de Morelos, Ciudad de México
Hybrid
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Takeda exists to create better health for people, brighter future for the world.
The Role
By 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 creating a future-ready organization that uses data and digital to meet the needs of patients, our people, and the planet. We need your help to make this happen. Join our Innovation Capability Center (ICC) in Mexico City, Mexico.
Our team is growing and for this we need bright minds with creativity and flexibility. What talent do you have?
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.
  • 1-3 years of experience in data engineering, or a related field.

  • 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
  • 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.

Locations
MEX - Santa Fe
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time

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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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