Overview In this Lead AI & Data Engineer role, you will shape the APD Platform, enabling R&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 / Incentivos in-person collaboration ~3 days/week flexible working arrangements inclusive and diverse environment opportunity to contribute to meaningful medicines collaboration with global experts

Responsabilidades

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

Requisitos principales 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 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 collaboration structured problem-solving stakeholder engagement

Python

SQL data pipelines

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