Overview In this on

- site Barcelona role, you will build and automate a robust data foundation to empower product teams, data science, and agents.

You’ll design and implement cloud-based data pipelines and lakehouse components, driving reliable, scalable data platforms.

You’ll mentor peers and share best practices across the organization, shaping how data supports healthcare innovation.

Expect hands-on work with cutting-edge AWS data services and modern data tooling to enable rapid, impactful decision-making.

Responsabilidades

- Design and manage cloud data infrastructure across AWS services (Lake Formation, Glue, Athena, EMR/Redshift Serverless)
- Develop and optimize table formats (Iceberg preferred; Delta Lake) and handle partition/schema evolution
- Build and operate streaming pipelines (Kinesis/MSK) with exactly-once semantics and windowing
- Implement infrastructure as code (CDK/Cloud Formation) and CI/CD for data pipelines (Git Hub Actions, Terraform
- Model data for analytics with dimensional models and slowly changing dimensions
- Enforce governance and security (column-level/row-level security, tag-based access)
- Develop ETL logic with Python or Spark; leverage PySpark/Scala for distributed transforms




- Mentor junior engineers and promote tooling adoption and best practices
- Collaborate with product management and security to align data foundation with business goals Requisitos principales
- 7+ years of hands-on data engineering experience in SaaS/multi-tenant environments
- Strong AWS expertise across VPC, IAM, EC2, S3, RDS, Lambda, EKS, WAF, Cloud Trail
- Extensive experience with S3, RDS, DynamoDB, Kinesis, Glue, Data Zone, Athena, Redshift Serverless, Event Bridge
- Proficiency in Docker, Kubernetes, Helm; CI/CD with ArgoCD, Git Hub Actions
- IaC with AWS CDK (Type Script) and Cloud Formation
- Security knowledge including IAM, KMS, encryption, AWS WAF, NIST frameworks
- Monitoring/observability with Open Telemetry, Prometheus, Grafana, Cloud Watch/Cloud Trail
- ETL/real-time data pipelines with Glue, Kinesis, Managed Kafka; scripting in Type Script and Bash
- Multi-account AWS management (AWS Control Tower)
- Strong communication skills for cross-functional collaboration
- Mentorship
- Collaboration
- Organized * AWS Lake Formation
- AWS Glue (ETL, Catalog, Schema Registry)
- Athena

📌 Senior Data Engineer - Evinova (Barcelona)
🏢 AstraZeneca
📍 Barcelona