Experteer Overview
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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.
Compensaciones / Incentivos
• 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/CloudFormation) and CI/CD for data pipelines (GitHub 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
Responsabilidades
• 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, CloudTrail
• Extensive experience with S3, RDS, DynamoDB, Kinesis, Glue, DataZone, Athena, Redshift Serverless, xqbhyrx EventBridge
• Proficiency in Docker, Kubernetes, Helm; CI/CD with ArgoCD, GitHub Actions
• IaC with AWS CDK (TypeScript) and CloudFormation
• Security knowledge including IAM, KMS, encryption, AWS WAF, NIST frameworks
• Monitoring/observability with OpenTelemetry, Prometheus, Grafana, CloudWatch/CloudTrail
• ETL/real-time data pipelines with Glue, Kinesis, Managed Kafka; scripting in TypeScript and Bash
• Multi-account AWS management (AWS Control Tower)
• Strong communication skills for cross-functional collaboration
Requisitos principales
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📌 Senior Data Engineer - Evinova (Barcelona)
🏢 AstraZeneca
📍 Barcelona