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# Test Engineer, Cloud & Data Platform (Lakehouse)

- **Company:** N Consulting Ltd
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Amazon Web Services, Amazon S3, Apache HTTP Server, Automation of Tests, Unit Testing, Cloud Computing, Continuous Integration, Data Infrastructure, Identity and Access Management, Python (Programming Language), Microsoft Office, Reliability Engineering, Site Reliability Engineering Practices, Scripting, Performance Testing, Snowflake, Cloudformation, Gitlab-ci, Information Technology, AWS Glue, AWS Data Analytics, Data Management, Cloudwatch, Terraform, Databricks, Vulnerability Analysis
- **Published:** September 25, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/test-engineer-cloud-data-platform-lakehouse/48436432

## About the Role

Required Experience**- **\*\*3-5+ years\*\*** in software testing, QA engineering, or platform engineering with a quality focus- **\*\*2+ years\*\*** testing cloud infrastructure and IaC (AWS + Terraform or CloudFormation)- Hands-on experience with CI/CD pipeline testing (GitLab CI or equivalent)- Familiarity with data platforms (Snowflake, Databricks, DBT, or AWS Glue)- Python scripting for test automation and utilities- Experience with compliance and governance requirements in regulated industries**\*\*Preferred:\*\***- AWS certification (any level)- Experience in financial services or regulated environments- Familiarity with SRE practices (error budgets, blameless postmortems)- Bachelor's or Master's degree in Computer Science, Engineering, or related field #J-18808-Ljbffr

## Description

LocationLondon, United Kingdom# Test Engineer, Cloud & Data Platform (Lakehouse) at N Consulting LtdLocationLondon, United KingdomSalary£225 - £250 /dayJob TypeContractDate PostedMay 7th, 2026Apply Now**Test Engineer, Cloud & Data Platform (Lakehouse)**Working : Hybrid (2 days from office)Office Location: London, UK**## Core Technical Skills**| Area | Level ||------|-------|| Terraform (IaC testing, unit tests, state management) | Advanced || GitLab CI/CD (pipeline testing, matrix jobs, artefacts) | Advanced || AWS data services (S3, IAM, Glue, Lake Formation, EventBridge, CloudWatch, Lambda) | Intermediate-Advanced || Security scanning tools (Checkov, tfsec) | Intermediate || Data platforms (Snowflake, Databricks, DBT, Apache Iceberg) | Intermediate || Python (test automation, pipeline utilities) | Intermediate || SRE practices (SLIs/SLOs, chaos engineering, performance testing) | Intermediate || Compliance testing (encryption, tagging, data residency) | Intermediate |---**##


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