Senior Data Engineer - Evinova
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+21 more
Job 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
Requirements
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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Highest Paying Tech Companies for Developers
Making Data Warehouses Fast: A Developer’s Story
Dev Digest 120 - Apple and peers
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again