Data Foundation Engineering Lead - Evinova at AstraZeneca Location: Barcelona, CT, ES. This Visa sponsorship job abroad position offers great opportunities for career growth. Posted date Jul. 29, 2026 Contract type Full time Job ID R- .
Why choose AstraZeneca Spain? Why choose AstraZeneca Spain? 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? 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 integral biopharmaceutical company that invests in your future. Join a talented global team that's powering AstraZeneca to better serve patients every day.
Success Profile 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 Infrastructure Design & Management: AWS Data Services: Deep hands‑on experience with Lake Formation, Glue (ETL + Catalogue + Schema Registry), Athena, and at least one of EMR / Redshift Serverless. You understand how these compose, not just how each works in isolation.
Open Table Formats: Production experience with S3 Tables, Apache Iceberg (preferred), or Delta Lake. You understand partition evolution, schema evolution, time travel, and compaction — and when each matter.
Streaming: Built production streaming pipelines with Kinesis Data Streams or MSK. Comfortable with exactly once semantics, windowing, late‑arriving data, and backpressure.
Infrastructure as Code: AWS CDK (TypeScript) or CloudFormation. You define infrastructure in code, not in the console.
CI/CD for data pipelines is expected, we currently use GitHub Actions, and some Terraform.
Data Modelling: Can design dimensional models, event schemas, and slowly changing dimensions.



Understand the trade-offs between normalized and denormalized storage for different access patterns.
Governance and Security: Practical experience implementing column‑level security, row‑level filtering, or tag‑based access control. Understands how data classification drives policy.
Python or Spark: For ETL logic, feature extraction, and data quality validation. PySpark or Spark Scala for distributed transforms.
AI & Machine Learning: Exposure to AI tools and frameworks is a plus.
Mentorship & Leadership: Mentor and guide junior and mid‑level engineers, fostering a culture of learning and collaboration. Provide technical leadership in the adoption of the tooling, patterns, and automation best practices.
Collaboration: Partner with cross‑functional teams, including product management and security, to align data foundation strategies with business goals and ensure cohesive development and operational workflows.
Required Experience & Qualifications Experience: 10+ years in Data Engineering roles, with significant experience in SaaS and multi‑tenant data platforms. Proven track record of mentoring team members in data platform related projects.
Cloud Expertise: Strong understanding of AWS services, including VPC, IAM, EC2, S3, RDS, Lambda, EKS, AWS WAF, and AWS CloudTrail.
Data Products: Expert knowledge of S3, RDS, DynamoDB, Kinesis, Glue, DataZone, Athena, RedShift Serverless, and AWS EventBridge.
Containerization & Orchestration: Deep proficiency in Docker, Kubernetes, Helm, and associated ecosystem tools.
CI/CD Proficiency: Expertise in CI/CD tools such as ArgoCD and GitHub Actions.
Infrastructure as Code (IaC): Advanced experience with AWS CDK (TypeScript preferred) and CloudFormation.
Security: Good knowledge of IAM, AWS KMS, encryption standards, AWS WAF, and security compliance frameworks including NIST.
Monitoring & Alerting: Good experience with OpenTelemetry, Prometheus, Grafana, AWS CloudWatch, and AWS CloudTrail for monitoring and incident response.
Data & ETL Pipelines: Extensive knowledge with AWS Glue, AWS Kinesis, and Managed Kafka for real‑time and batch data processing.
Programming & Automation: Strong scripting and automation skills using TypeScript and Bash.
Multi‑

📌 Data Foundation Engineering Lead - Evinova At Astrazeneca (Barcelona)
🏢 AstraZeneca
📍 Barcelona