? Automation Test Engineer – Data & Platform Engineering Location: Madrid or Barcelona, Spain Hybrid: 2–3 days per week from the Madrid/Barcelona office Contract: Long-term? AI Ways of Working: Mandatory About the RoleWe’re looking for an experienced Automation Test Engineer to own Quality Engineering across data and platform engineering.This is not a Test Lead or Test Management role. You’ll be hands-on, building scalable automation frameworks, designing data validation strategies, challenging weak implementations, and creating quality gates that prevent issues from reaching production.You should be highly comfortable with Python, SQL, data testing, automation frameworks, streaming systems and cloud technologies, while actively using AI-assisted ways of working to accelerate automation and engineering productivity. What You’ll Be DoingDesign and evolve scalable, modular, metadata-driven test automation frameworksBuild automation for batch and streaming data pipelines, APIs and backend servicesDevelop reusable data testing capabilities for:SQL assertions and reconciliationSchema validation and evolutionData contractsLineage and freshnessYAML/JSON-based test configurationsProactively test failure scenarios including:Schema driftDuplicate, missing and out-of-order eventsLate-arriving dataRetries, DLQs and backpressureHigh-volume and concurrency issuesValidate ETL/ELT pipelines using row, aggregate and hash-based reconciliationTest incremental loads, backfills and event-processing semanticsIntegrate and extend Great Expectations, Soda or similar data-quality toolsEmbed automated quality gates into CI/CD and DataOps pipelinesWork with GitHub Actions, Jenkins or equivalentDevelop strategies for synthetic, masked and deterministic test dataPerform performance,



stress and reliability testing across data platformsAutomate security and compliance validations around PII/PHI, encryption, access control and data retentionWork closely with Data Engineers, Platform Engineers and Architects to embed quality earlyAnalyse production failures and drive root-cause fixesReduce flaky tests, false positives and unnecessary computeUse AI tools and AI-assisted engineering practices wherever possible to accelerate automation?️ Mandatory SkillsProgramming & AutomationStrong PythonExperience building automation/test frameworks, libraries and CLI toolsAdvanced SQLStrong test automation and framework engineering experienceData EngineeringDBTAirflowSnowflake or similar data platformsStrong ETL/ELT and data modelling knowledgeData QualityGreat Expectations, Soda or similarData validation and reconciliationSchema validation and data contractsData lineage and freshnessStreamingKafka, Kinesis or similarEvent processing and delivery semanticsExperience testing distributed/streaming systemsCI/CD & DevOpsStrong GitJenkins, GitHub Actions or equivalentCI/CD quality gatesCloud & InfrastructureAWS – data and compute servicesTerraform, CloudFormation or similar IaCAI Ways of WorkingPractical experience using AI/GenAI tools to improve software testing, automation or engineering productivity – Mandatory⭐ Nice to HaveAPI contract testing / PACTUI automationData Mesh / Data Product architecturesPrometheus / GrafanaExperience in regulated industries such as Healthcare, Life Sciences or FinanceSecurity and compliance testing Experience9+ years in Automation / Quality Engineering5+ years building testing frameworks for data platforms at scaleStrong hands-on engineering background rather than test managementProven experience improving reliability and reducing production incidents

📌 Automation Test Engineer (Comunidad de Madrid)
🏢 Ubique Systems
📍 Comunidad de Madrid