Hybrid Principal Data Engineer – AI-Driven Data Platforms

Takeda; Ciudad de México; Híbrido; MXN 1.200.000 - 2.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive Salary + Bonus

Food vouchers

Flexible working schemes

Healthcare insurance

Descripción de la vacante

Takeda’s Innovation Capability Center in Mexico City is building a data-driven engine to accelerate global life sciences initiatives. You will own data models, pipelines, and AI-enabled parsers for pre-clinical and manufacturing data, delivering high-fidelity data products and dashboards.

You’ll collaborate with product managers, ML engineers, and lab scientists to turn complex data into actionable insights, while mentoring junior engineers and improving developer experience in an agile

Formación

• 12+ years building data products as a Data Engineer or similar fields.
• 12+ years working in Python and SQL with a focus on data.
• Experience leading projects, managing requirements, and handling timelines.
• Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones.
• Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred.
• Experience working with pre-clinical data and lab scientists is strongly preferred.
• Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
• Quickly understand a highly technical product and effectively communicate with product management and engineering.
• Understanding Cloud & DevOps best practices.
• Knowledge of software engineering best practices & SDLC lifecycle in regulated environments.

Responsabilidades

• Work with Product Managers and Solution Architects to understand business requirements, gathering insight into potential positive outcomes, and build a solution based on consensus.
• Take ownership of building data models, prototypes, and integration solutions that drive customer success.
• Use AI agents to build comprehensive data schemas and parsers for pre-clinical data with various data formats (.xlsx, .pdf, .txt, .raw, .fid).
• Extract reusable schema components and parsing functions, and productize them into Python libraries.
• Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data.
• Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
• Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products.
• Drive value for the customers - verify the solution fulfills their requirements and provides value.
• Quality gatekeeper design with quality backed by unit tests, integration tests, and utility functions.
• Lead team-wide process/technology improvements on product quality and developer experience.
• Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them.
• Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.
• Provide mentorship to junior SDEs and show leadership in every front

Conocimientos

Data engineering

Python

SQL

Project leadership

Cross-functional collaboration

Communication

Agile / Scrum

Cloud & DevOps

Herramientas

React

Streamlit

Jupyter

Descripción del empleo

Takeda’s Innovation Capability Center in Mexico City is building a data-driven engine to accelerate global life sciences initiatives. You will own data models, pipelines, and AI-enabled parsers for pre-clinical and manufacturing data, delivering high-fidelity data products and dashboards.

You’ll collaborate with product managers, ML engineers, and lab scientists to turn complex data into actionable insights, while mentoring junior engineers and improving developer experience in an agile