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Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2-3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings
About the Client
Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg - enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.
About the Role
We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.
This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers - the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.
Responsibilities
- Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
- Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
- Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
- Validate data-intensive scenarios - query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
- Contribute to CI/CD test pipelines in Jenkins - configure, maintain, and troubleshoot.
- Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
- Investigate failures across the stack - query engine, distributed services, drivers, infrastructure - and drive them to resolution with engineering.
- Collaborate with US-based developers on testability and quality gates.
Required Qualifications
- Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
- Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
- SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
- Data-intensive testing experience: Hands-on experience testing data-intensive systems - query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
- Testing experience: 3+ years in backend/system test automation or SDET roles.
- CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
- Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
- Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
- Version Control: Confident with Git / GitHub workflows.
- English: Upper-Intermediate or higher (B2+) - daily written and verbal communication with a US-based engineering team.
- Availability: Able to work EU hours with a 2-3 hour shift toward US West Coast time to ensure daily overlap with the client team.
Desired Skills
- Experience testing REST APIs and backend microservices at scale.
- Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
- Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
- Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
- Performance testing with JMeter or comparable load-testing tools.
- Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
- IaC tools such as Terraform.
- Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
Please note: We can consider only candidates currently residing in the EU, EEA, or the UK
About the Role
Level: Middle Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2-3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings Our client is a leading enterprise data platform company building an open, high-performance da