Automation Test Engineer

Job Title: Automation Test Engineer (Data & Platform Engineering)Location: Madrid/Barcelona, SpainMode: Hybrid (2 to 3 days a week from Madrid or Barcelona office)Employment: Long term ContractAI ways of working MandatoryJob description:You will design frameworks that teams adopt, enforce standards that prevent bad releases, and build systems that proactively catch failures before they hit production.You should be equally comfortable writing Python frameworks, designing data validation strategies, and challenging engineers on weak implementations.Also embrace AI ways of workingwherever possible to accelerate automation.Core Expectations· You do not wait for bugs, you design systems that make bugs difficult to exist· You build frameworks that multiple teams adopt without friction· You challenge architecture, not just test outcomes· You reduce false positives, flaky tests, and wasted compute· You think in terms of data reliability, contracts, and system behaviour under stressMandatory Skills- Programming & Framework Development· Strong Python with experience building test frameworks, libraries, and CLI tools· Advanced SQL for validation and reconciliation- Data Engineering Ecosystem· Hands on with DBT, Airflow, and Snowflake or similar platforms· Strong understanding of ETL or ELT and data modeling concepts- Data Quality & Observability· Experience with Great Expectations, Soda, or similar tools· Understanding of lineage and catalog systems- Streaming Systems· Experience testing Kafka, Kinesis, or similar systems· Understanding of delivery semantics and event processing challenges- CI/CD & DevOps· Strong Git workflows· CI/CD pipelines using Jenkins, GitHub Actions, or equivalent- Cloud & Infrastructure· AWS experience across data and compute services· Familiarity with IaC tools like Terraform or CloudFormationDesired Skills· Experience with API contract testing and tools like PACT· Basic UI automation for end to end validation· Exposure to data mesh or data product architectures· Observability stacks such as Prometheus or Grafana· Experience in regulated domains (healthcare, life sciences, finance)

Also embrace AI ways of workingwherever possible to accelerate automation.Core Expectations· You do not wait for bugs, you design systems that make bugs difficult to exist· You build frameworks that multiple teams adopt without friction· You challenge architecture, not just test outcomes· You reduce false positives, flaky tests, and wasted compute· You think in terms of data reliability, contracts, and system behaviour under stressMandatory Skills

• Programming & Framework Development· Strong Python with experience building test frameworks, libraries, and CLI tools· Advanced SQL for validation and reconciliation
• Data Engineering Ecosystem· Hands on with DBT, Airflow, and Snowflake or similar platforms· Strong understanding of ETL or ELT and data modeling concepts
• Data Quality & Observability· Experience with Great Expectations, Soda, or similar tools· Understanding of lineage and catalog systems
• Streaming Systems· Experience testing Kafka, Kinesis, or similar systems· Understanding of delivery semantics and event processing challenges
• CI/CD & DevOps· Strong Git workflows· CI/CD pipelines using Jenkins, GitHub Actions, or equivalent
• Cloud & Infrastructure· AWS experience across data and compute services· Familiarity with IaC tools like Terraform or CloudFormationDesired Skills· Experience with API contract testing and tools like PACT· Basic UI automation for end to end validation· Exposure to data mesh or data product architectures· Observability stacks such as Prometheus or Grafana· Experience in regulated domains (healthcare, life sciences, finance)