Data Engineering Lead - AI-Driven Data Platform

AstraZeneca; España; On-site; PHP 7,524,000 - 10,031,000; Full time

Job summary

AstraZeneca is seeking a hands-on Data Engineering Lead to drive data products and AI-enabled capabilities across discovery and development. You will guide architecture, engineering and delivery across global teams, shaping data strategies and scalable platforms.

You will lead engineers and analysts in building production-grade pipelines, AI components and cloud-native solutions while championing responsible AI and governance across projects.

Qualifications

• Experience as a Data Engineering Lead, Software Engineering Lead, Platform Engineering Lead, AI Engineering Lead or equivalent.
• Hands-on background building and operating production data, software or AI products in the cloud.
• Strong programming and engineering capability in Python and SQL, including testing, code review, debugging, optimisation and production support.

Responsibilities

• Build discoverable, interoperable and trusted data products for scientific and business users.
• Develop AI solutions such as predictive analytics, intelligent search, knowledge assistants, RAG, agentic workflows and automation.
• Setting standards for data engineering, APIs, analytics, machine learning and generative AI.
• Providing hands-on technical leadership through architecture, design reviews, prototypes, code contributions, performance optimisation and production support.
• Improving delivery through Agile, DevOps, DataOps, MLOps and LLMOps practices, automation and self-service capabilities.
• Working with product managers, architects, data owners, scientists and stakeholders to prioritise opportunities and deliver measurable outcomes.
• Coaching senior engineers and technical leads and promoting responsible, well-governed use of AI.

Skills

Python

SQL

Data engineering

Cloud computing

Leadership

AI/ML

Tools

Git

CI/CD

AWS

Azure

Containers

Serverless

Job description

AstraZeneca is seeking a hands-on Data Engineering Lead to drive data products and AI-enabled capabilities across discovery and development. You will guide architecture, engineering and delivery across global teams, shaping data strategies and scalable platforms.

You will lead engineers and analysts in building production-grade pipelines, AI components and cloud-native solutions while championing responsible AI and governance across projects.