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# Senior Data Engineer - Evinova

- **Company:** AstraZeneca
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Software as a Service, Cloud Database, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), Prometheus, TypeScript, AWS Cdk, Scripting, Grafana, Apache Spark, Amazon Virtual Private Cloud (VPC), Cloudformation, Amazon Relational Database Service, Data Lakes, Pyspark, Kubernetes, AWS Data Analytics, Apache Kafka, Data Management, Functional Programming, Cloudwatch, Data Pipelines, Serverless Computing, Docker
- **Published:** September 25, 2026
- **Apply:** https://www.buscojobs.com.es/senior-data-engineer-evinova-en-barcelona-ID-373008670

## About the Role

Expect hands-on work with cutting-edge AWS data services and modern data tooling to enable rapid, impactful decision-making.
ResponsabilidadesDesign 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 evolutionBuild and operate streaming pipelines (Kinesis/MSK) with exactly-once semantics and windowingImplement infrastructure as code (CDK/CloudFormation) and CI/CD for data pipelines (GitHub Actions, TerraformModel data for analytics with dimensional models and slowly changing dimensionsEnforce governance and security (column-level/row-level security, tag-based access)Develop ETL logic with Python or Spark; leverage PySpark/Scala for distributed transformsMentor junior engineers and promote tooling adoption and best practicesCollaborate with product management and security to align data foundation with business goals
Requisitos principales7+ years of hands-on data engineering experience in SaaS/multi-tenant environmentsStrong AWS expertise across VPC, IAM, EC2, S3, RDS, Lambda, EKS, WAF, CloudTrailExtensive experience with S3, RDS, DynamoDB, Kinesis, Glue, DataZone, Athena, Redshift Serverless, EventBridgeProficiency in Docker, Kubernetes, Helm; CI/CD with ArgoCD, GitHub ActionsIaC with AWS CDK (TypeScript) and CloudFormationSecurity knowledge including IAM, KMS, encryption, AWS WAF, NIST frameworksMonitoring/observability with OpenTelemetry, Prometheus, Grafana, CloudWatch/CloudTrailETL/real-time data pipelines with Glue, Kinesis, Managed Kafka; scripting in TypeScript and BashMulti-account AWS management (AWS Control Tower)Strong communication skills for cross-functional collaborationMentorshipCollaborationOrganizedAWS Lake FormationAWS Glue (ETL, Catalog, Schema Registry)Athena

## Description

OverviewIn 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.ResponsabilidadesDesign 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 evolutionBuild and operate streaming pipelines (Kinesis/MSK) with exactly-once semantics and windowingImplement infrastructure as code (CDK/CloudFormation) and CI/CD for data pipelines (GitHub Actions, TerraformModel data for analytics with dimensional models and slowly changing dimensionsEnforce governance and security (column-level/row-level security, tag-based access)Develop ETL logic with Python or Spark; leverage PySpark/Scala for distributed transformsMentor junior engineers and promote tooling adoption and best practicesCollaborate with product management and security to align data foundation with business goalsRequisitos principales7+ years of hands-on data engineering experience in SaaS/multi-tenant environmentsStrong AWS expertise across VPC, IAM, EC2, S3, RDS, Lambda, EKS, WAF, CloudTrailExtensive experience with S3, RDS, DynamoDB, Kinesis, Glue, DataZone, Athena, Redshift Serverless, EventBridgeProficiency in Docker, Kubernetes, Helm; CI/CD with ArgoCD, GitHub ActionsIaC with AWS CDK (TypeScript) and CloudFormationSecurity knowledge including IAM, KMS, encryption, AWS WAF, NIST frameworksMonitoring/observability with OpenTelemetry, Prometheus, Grafana, CloudWatch/CloudTrailETL/real-time data pipelines with Glue, Kinesis, Managed Kafka; scripting in TypeScript and BashMulti-account AWS management (AWS Control Tower)Strong communication skills for cross-functional collaborationMentorshipCollaborationOrganizedAWS Lake FormationAWS Glue (ETL, Catalog, Schema Registry)Athena


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