Data Engineering Lead
Posted date Sep. 10, 2026
Contract type Full time
Job ID R\-259815
Why choose AstraZeneca Spain?
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AstraZeneca Spain is a rising force in our global business. With headquarters in Madrid and our global hub in Barcelona, we’ve become an important international centre of excellence in the fight against critical disease. Boasting vibrant universities and business schools, the Barcelona ecosystem is a place where scientists can thrive. We attract a diverse workforce from across the globe, shining a beacon for innovation in a country that’s committed to clinical development.
We invite you to bring your talents to Barcelona where our respiratory medicine R\&D and Global Marketing centre offers opportunities in R\&D, IT, Commercial and HR. Or join us in Madrid and shape our growth in our BUs (Respiratory, Oncology \& CVRM ), and a range of Corporate functions. Additionally, you can find sales roles throughout the country. Together, we’re contributing to a world\-leading pipeline of therapeutics and delivering life\-changing medicines to patients.
Who do we look for?
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Calling all tech innovators, ownership takers, challenge seekers and proactive collaborators. At AstraZeneca Spain, breakthroughs born in the lab become transformative medicine for the world's most complex diseases. Alongside technical expertise, colleagues have the resilience, energy and collaborative mindset to change lanes, work with different teams and start projects from scratch.
Here, diverse minds and bold disruptors can meaningfully impact the future of healthcare using cutting\-edge technology. Whether you join us in Madrid or Barcelona, you can make a tangible impact within a global biopharmaceutical company that invests in your future. Join a talented global team that's powering AstraZeneca to better serve patients every day.
Success Profile
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Ready to make an impact in your career? If you're passionate, growth\-orientated and a true team player, we'll help you succeed. Here are some of the skills and capabilities we look for.
Diverse collaborators
This is a speak\-up culture that values collaboration. You’ll proactively bring your unique perspectives, experiences and skills to the table and seek the same from others. With our international team composition and the need for fast\-paced collaboration, you’ll always be building new connections with colleagues.
Cutting\-edge innovators
When you join us, you’ll be part of a team that embraces digital technology and data to transform the way we work and the work we do. Every day, you’ll help make history, empowered to ignite your creativity and build something enduring.
Resilient trailblazers
Here, the answers aren’t always available. So, you’ll need to bring a fearless, self\-starter mindset to navigate uncharted territories. You’ll harness your ceaseless energy to discover and make the necessary connections with colleagues to shape the future and achieve maximum impact.
Agile movers
Seize ownership and excel with autonomy to enjoy the constant rush of ground\-breaking discovery. Your ability to anticipate sudden shifts and adapt swiftly will prove critical as you make your mark in an environment that rewards initiative and resilience.
Responsibilities
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Job ID R\-259815 Date posted 09/10/2026
You’ll Influence The Lives Of Millions Globally Do you want to be part of one of the global leading innovators in the biopharmaceutical business in shaping the technology that reinforces everything we do that helps AstraZeneca push the boundaries and turns ideas into life changing medicines? The Drug Development Data Platform team here at AZ plays a key role introducing process and technology improvements such as Data Mesh, Agile, DevOps and the very latest engineering tools to maximise velocity and business value.
Apply Your Expertise In A Dynamic Team You will join the Drug Discovery Data Platform leadership team, delivering data and digital capabilities across Target Identification and discovery through design, make, test and analyse.
This is a hands\-on technical leadership role. You will lead multidisciplinary teams delivering trusted data products, analytical products and AI\-enabled solutions across the full lifecycle—from discovery and architecture through engineering, deployment, adoption, monitoring and continuous improvement.
Your work will include:
- Building discoverable, interoperable and trusted data products for scientific and business users.
- Developing 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.
Key Responsibilities
Technical Leadership and Architecture
- Define technical direction for data products, analytics platforms and AI\-enabled capabilities.
- Design secure, scalable, resilient and cost\-effective architectures for batch, streaming, event\-driven, API and AI workloads.
- Establish reusable patterns for data contracts, domain\-owned data products, semantic models, metadata, lineage and self\-service.
- Lead decisions across cloud infrastructure, data storage, processing, orchestration, integration, AI services and application development.
- Manage technical debt, platform risks, performance, dependencies and cloud costs.
- Ensure solutions meet relevant standards for security, privacy, compliance, validation, resilience, auditability and responsible AI.
- Contribute to production\-quality code, prototypes and technical investigations, primarily using Python and SQL.
- Build and review data pipelines, transformation frameworks, APIs, analytical products and AI application components.
- Develop cloud\-native solutions using containers, serverless services, managed platforms, event\-driven architectures and infrastructure as code.
- Establish practices for Git\-based development, automated testing, CI/CD, release management, observability and operational support.
- Apply data quality checks, monitoring, performance testing and secure software supply\-chain practices.
- Support incident investigation, root\-cause analysis and continuous improvement.
- Identify valuable and feasible applications of AI and advanced analytics in drug discovery.
- Engineer production AI solutions covering data preparation, model or foundation\-model integration, retrieval, tool use, evaluation, deployment, monitoring and cost management.
- Move suitable concepts from experimentation into reliable services.
- Translate user and business needs into product outcomes, technical options, delivery plans and success measures.
- Balance speed with quality, maintainability, security, compliance, resilience and total cost of ownership.
- Lead delivery across globally distributed teams, including the UK, Chennai, Barcelona and Guadalajara.
- Maintain clear technical designs, data definitions, data contracts, AI documentation, runbooks, support models and ownership.
- Promote reuse, interoperability and continuous feedback across products and domains.
Essential Experience
- Experience as a Data Engineering Lead, Software Engineering Lead, Platform Engineering Lead, AI Engineering Lead or equivalent.
- A strong 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.
- Experience with data modelling, batch and streaming pipelines, orchestration, data quality, metadata, lineage, data contracts and observability.
- Experience with AWS, Azure or comparable cloud platforms, including CI/CD, infrastructure as code, containers and production operations.
- Experience partnering with product, architecture, security, governance, data science and business teams to deliver measurable outcomes.
- The ability to make pragmatic architectural decisions and communicate complex technical topics clearly.
- Experience coaching engineers and raising engineering standards.
Our environment includes AWS and Azure services, S3, Redshift, Athena, Aurora, PostgreSQL, Snowflake, Starburst, Glue, Lambda, EMR, Spark, dbt, Power BI, GitHub Enterprise and container platforms. Equivalent technologies are equally relevant.
We are particularly interested in experience with:
- Data platforms and processing: Lakehouse or warehouse architectures, Spark, SQL transformation, streaming and workflow orchestration.
- Software engineering: Python, APIs, microservices, containers, serverless architectures, automated testing and secure development.
- Cloud and platform engineering: Terraform or equivalent, CI/CD, secrets management, observability, resilience, automation and cloud cost optimisation.
- Data product engineering: Data contracts, semantic layers, metadata, lineage,
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