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 Role We’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 Doing Design and evolve scalable, modular, metadata-driven

test automation frameworks Build automation for

batch and streaming data pipelines, APIs and backend services Develop reusable data testing capabilities for: SQL assertions and reconciliation Schema validation and evolution Data contracts Lineage and freshness YAML/JSON-based test configurations Proactively test failure scenarios including: Schema drift Duplicate, missing and out-of-order events Late-arriving data Retries, DLQs and backpressure High-volume and concurrency issues Validate ETL/ELT pipelines using

row, aggregate and hash-based reconciliation Test incremental loads, backfills and event-processing semantics Integrate and extend

Great Expectations, Soda

or similar data-quality tools Embed automated quality gates into

CI/CD and DataOps pipelines Work with

GitHub Actions, Jenkins

or equivalent Develop strategies for synthetic, masked and deterministic test data Perform performance,



stress and reliability testing across data platforms Automate security and compliance validations around

PII/PHI, encryption, access control and data retention Work closely with Data Engineers, Platform Engineers and Architects to embed quality early Analyse production failures and drive

root-cause fixes Reduce flaky tests, false positives and unnecessary compute Use

AI tools and AI-assisted engineering practices

wherever possible to accelerate automation ️ Mandatory Skills Programming & Automation Strong

Python Experience building automation/test frameworks, libraries and CLI tools Advanced

SQL Strong test automation and framework engineering experience Data Engineering DBT Airflow Snowflake

or similar data platforms Strong ETL/ELT and data modelling knowledge Data Quality Great Expectations, Soda

or similar Data validation and reconciliation Schema validation and data contracts Data lineage and freshness Streaming Kafka, Kinesis

or similar Event processing and delivery semantics Experience testing distributed/streaming systems CI/CD & DevOps Strong

Git Jenkins, GitHub Actions

or equivalent CI/CD quality gates Cloud & Infrastructure AWS

– data and compute services Terraform, CloudFormation

or similar IaC AI Ways of Working Practical experience using

AI/GenAI tools to improve software testing, automation or engineering productivity – Mandatory ⭐ Nice to Have API contract testing /

PACT UI automation Data Mesh / Data Product architectures Prometheus / Grafana Experience in regulated industries such as Healthcare, Life Sciences or Finance Security and compliance testing Experience 9+ years

in Automation / Quality Engineering 5+ years

building testing frameworks for data platforms at scale Strong hands-on engineering background rather than test management Proven experience improving reliability and reducing production incidents

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