Experteer Overview

No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.

In this Lead AI u0026amp; Data Engineer role, you will shape the APD Platform, enabling Ru0026amp;D teams to access and trust data for advanced analytics and AI use cases. You’ll lead hands-on engineering while collaborating with data scientists, software engineers, and stakeholders to deliver secure, scalable data and AI capabilities. You will drive reusable patterns, platform standards, and governance to support data-driven decision-making across the organization.

This is a chance to influence how AI accelerates drug development in a collaborative, innovation-driven environment.

Compensaciones / Ventajas

- Design, develop, test, deploy, and maintain production-grade data and AI solutions for the APD Platform
- Collaborate with stakeholders to translate needs into scalable, maintainable, and observable solutions
- Contribute to platform architecture, standards, and reusable patterns
- Ingest and manage data from structured and unstructured sources with quality controls and governance
- Develop and operationalize AI/ML capabilities, including model deployment and lifecycle management
- Apply DevOps practices: CI/CD, infrastructure as code, containerisation, monitoring, and incident response
- Create technical documentation, perform peer reviews, and promote knowledge sharing
- Provide technical leadership through hands-on work, reviews,



and collaborative decision-making
- Mentor engineers and align engineering decisions with platform strategy and enterprise standards

Responsabilidades

- Extensive experience in data/AI/software engineering with technical leadership in a complex enterprise
- Strong programming in Python (and/or another modern language); solid SQL, data modelling, APIs, version control, and automated testing
- Experience designing and implementing data pipelines, data products, or data platforms in the cloud
- Familiarity with one or more cloud platforms and services for storage, compute, databases, analytics, ML, identity, and monitoring
- Understanding of ML engineering and MLOps, including deployment, monitoring, reproducibility, and lifecycle xugodme management
- Experience deploying AI/ML solutions, including generative AI, LLM integration, retrieval-augmented generation, and AI service deployment
- CI/CD, infrastructure as code, containerisation, observability, agile delivery
- Experience with Spark, Docker, Kubernetes, Terraform, Git workflows; strong communication across technical and non-technical audiences
- Collaborative, structured problem-solving, stakeholder engagement across distributed teams

Requisitos principales

- in-person collaboration ~3 days/week
- flexible working arrangements
- inclusive and diverse environment
- opportunity to contribute to meaningful medicines
- collaboration with global experts

📌 Lead AI & Data Engineer – APD Platform (Barcelona)
🏢 AstraZeneca
📍 Barcelona