Data Engineer – Hybrid, Global Manufacturing Analytics

MEX - 9930 Takeda Innovation Solutions Mexico S.A de C.V

Santa Fe

Híbrido

MXN 900.000 - 1.300.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Competitive Salary + Annual Bonus
Monthly supermarket vouchers
Flexible working schemes
Healthcare plans (Life/Medical/Dental/

Descripción de la vacante

Takeda Innovation Solutions Mexico S.A de C.V invites a Data Engineer to transform how teams work with data across GMS sites. You will help improve product quality, reduce waste, and increase efficiency to support patient lives.

You will build scalable data pipelines, enable real-time and predictive analytics, and collaborate with analytics and business teams to shape data models and BI dashboards.

Formación

  • 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

Responsabilidades

  • 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.

Conocimientos

SQL
Relational databases
Data modelling
Agile/SCRUM
DevSecOps
Communication
English Fluency

Educación

Bachelor’s degree in Computer Science or related IT field

Herramientas

Databricks
Oracle
MongoDB

Descripción del empleo

Takeda Innovation Solutions Mexico S.A de C.V invites a Data Engineer to transform how teams work with data across GMS sites. You will help improve product quality, reduce waste, and increase efficiency to support patient lives.

You will build scalable data pipelines, enable real-time and predictive analytics, and collaborate with analytics and business teams to shape data models and BI dashboards.

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