Automation QA Engineer
Postaladdress Uk
Southend-on-Sea, United Kingdom
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 60KJob location
Southend-on-Sea, United Kingdom
Tech stack
Java
Amazon Web Services (AWS)
Automation of Tests
Azure
Big Data
Google BigQuery
Cloud Computing
Continuous Integration
Data Validation
ETL
Data Warehousing
Database Queries
DevOps
Distributed Systems
Github
Standard Sql
Systems Integration
Cloud Platform System
Snowflake
Spark
Backend
Gitlab
GIT
Data Lake
Gitlab-ci
REST
Software Version Control
Data Pipelines
Jenkins
Redshift
Microservices
Job description
- Work closely with cross-functional teams to drive automation and improve test maturity.
- Ensure the accuracy and resilience of data pipelines and backend services.
- Influence engineering best practices through technical insight and ownership.
- Develop and maintain automation frameworks for testing.
- Conduct validation of data engineering pipelines and related jobs.
- Test and ensure the quality of REST APIs and microservices.
- Collaborate in a hands-on capacity to build scalable and reliable data products.
Technologies:
- AWS
- Redshift
- Azure
- BigQuery
- Backend
- CI/CD
- Cloud
- DevOps
- ETL
- GCP
- Git
- GitHub
- GitLab
- Java
- Jenkins
- REST
- SQL
- Snowflake
- Spark
- microservices, We are a leading organization investing heavily in our data and engineering capabilities, seeking a Senior Automation QA Engineer to enhance the quality of our complex, distributed systems. You will be part of a dynamic team that values technical depth and ownership. This role offers a unique opportunity to drive automation and ensure the delivery of high-quality services and data products at scale. Please note that this contract is inside IR35, requiring collaboration through an umbrella company for the duration of the project.
Requirements
- Strong background in automation testing for microservices-based architectures.
- Hands-on experience building automation frameworks using Java or similar languages.
- Solid experience testing REST APIs, backend services, and service-to-service integrations.
- Proven experience validating data engineering pipelines (ETL/ELT, batch jobs, scheduled data builds).
- Strong SQL skills for data validation, reconciliation, and analysis.
- Experience with data warehouses, data lakes, or big-data platforms such as Snowflake, Redshift, BigQuery, or Spark.
- Familiarity with CI/CD tooling (Jenkins, Azure DevOps, GitHub Actions, GitLab CI).
- Experience working with Git-based version control.
- Exposure to cloud environments (Azure, AWS, or GCP).
- Understanding of distributed systems and microservices architecture.
