Data Engineer

Takeda Pharmaceuticals; Ciudad de México; Presencial; MXN 250,000 - 350,000; Jornada completa

Descripción de la vacante

A global healthcare company in Mexico City is seeking a Data Engineer to transform data management and improve manufacturing efficiency. You will design and maintain scalable data pipelines and work directly with cross-functional teams to enhance data-driven decision-making. With a focus on modern database technologies and strong communication skills, ideal candidates will possess a Bachelor’s Degree and relevant experience in data engineering.

Formación

• 1-3 years of experience in data engineering or related field.
• Strong expertise in modern database technologies.
• Understanding of Agile/SCRUM methodologies.

Responsabilidades

• Design and implement data-driven solutions for manufacturing.
• Develop and maintain data pipelines using AWS technologies.
• Collaborate with teams to enhance business intelligence tools.

Conocimientos

SQL

Data modeling

Excellent communication

Fluency in English

Educación

Bachelor’s Degree in Computer Science or equivalent

Herramientas

Databricks

Oracle

MongoDB

Descripción del empleo

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.

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 (BioviaDiscoverant, 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

Takeda is an equal opportunity employer and is committed to providing a workplace that is free from discrimination and harassment.