Test Engineer - Data & Cloud QA (Hybrid Southampton)

Ordnance Survey; Southampton; Hybrid; GBP 44,000 - 51,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary and pension

Learning and development support

OS Maps access

Job summary

Ordnance Survey is seeking a Test Engineer to help build secure, high‑quality software in a hybrid Southampton role. You will implement automated tests, validate data quality, and contribute testing expertise across agile ceremonies while mentoring others and supporting services in production.

The role emphasizes hands‑on testing, collaboration with engineers and product teams, and extending test frameworks using technologies like Scala, Spark, Databricks and Azure DevOps.

Qualifications

• Experience in creating, maintaining and peer reviewing test automation code, preferably in Scala.
• Background in back-end data testing, data validation or ETL testing.
• Strong knowledge of software testing best practices and Agile/Scrum.

Responsibilities

• Implement automated tests using existing frameworks and extend them as needed.
• Validate data quality using big data testing tools and analyse data transformations.
• Contribute testing expertise to agile ceremonies and communicate test outcomes.
• Support testing standards within the org and mentor others.

Skills

Test automation

Data testing

Scala

Automation frameworks

Agile/Scrum

CI/CD practices

Testing methodologies

Communication

Data quality

Tools

Scala

Apache Spark

Databricks

Apache Parquet

Azure Cloud Platform

Azure DevOps

Git

Job description

Ordnance Survey is seeking a Test Engineer to help build secure, high‑quality software in a hybrid Southampton role. You will implement automated tests, validate data quality, and contribute testing expertise across agile ceremonies while mentoring others and supporting services in production.

The role emphasizes hands‑on testing, collaboration with engineers and product teams, and extending test frameworks using technologies like Scala, Spark, Databricks and Azure DevOps.