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 / Beneficios

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