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# SDET

- **Company:** Massive Rocket · Uk
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Automation of Tests, Big Data, BigQuery, Software Bug Management, Cloud Database, Continuous Integration, Customer Data Management, Information Engineering, Extract Transform Load (ETL), Dataspaces, Database Testing, Github, Python (Programming Language), Regression Testing, Mockito, Standard Sql, Software Engineering, SQL Databases, Data Streaming, Snowflake, Gitlab-ci, Integration Tests, Information Technology, Data Management, Restful APIs, Data Pipelines, Api Management, User Identification, SDET, Databricks
- **Published:** July 30, 2026
- **Apply:** https://www.workingnomads.com/job/go/1762058/

## About the Role

* 4+ years of experience in SDET, Data QA, Automation Engineering, or a similar software/data testing role, ideally within Martech, Data, or B2C environments

 * Strong SQL and Python skills, with experience building automated test suites and validating large-scale datasets

 * Proven experience designing and implementing automated data testing or quality frameworks from the ground up

 * Hands-on experience testing modern cloud data platforms such as Databricks, Snowflake, BigQuery, or similar, with strong understanding of data pipelines and lakehouse/warehouse architectures

 * Strong experience testing ETL/ELT pipelines across batch and near real-time environments, with familiarity with tools such as dbt, Airflow, or similar

 * Experience testing CDP and customer data flows, including event ingestion, identity resolution, audience activation, and downstream integrations

 * Strong API testing experience, including REST APIs, payload validation, mocking, and cross-platform integration testing

 * Excellent defect triage and root-cause analysis skills, with experience working closely with engineering teams to resolve issues and prevent regression

 * Strong understanding of data quality, governance, privacy, and consent management within customer data ecosystems

 * English proficiency at C1 level

Desirable

 * Experience with mParticle, particularly event ingestion, identity resolution, audience syncs, and downstream activation

 * Familiarity with Braze, including Data Track API, Cloud Data Ingestion, event forwarding, or customer data activation

 * Experience testing OneTrust consent and preference management frameworks

 * Experience with web/app SDK testing and automated customer journey validation

 * Experience integrating automated quality checks into CI/CD pipelines using GitHub Actions, GitLab CI, or similar

 * Familiarity with Martech, CRM, CDP, or B2C customer data environments

 * Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field

## Description

You'll work across data, Martech, and engineering environments to test everything from customer data pipelines and identity resolution to SDK events, APIs, CDP integrations, and downstream activation in platforms such as Databricks, mParticle, Braze, and OneTrust.

This is a hands-on engineering role focused on automating quality rather than manually testing it. You'll write code that tests code, build scalable validation frameworks, and work closely with Data Engineers and Martech teams to identify issues early, prevent regressions, and ensure customer data is accurate, compliant, and ready for activation.

What Will You Do?

 * Build automated testing frameworks to validate customer data, schemas, data contracts, and identity resolution across the data ecosystem

 * Develop automated tests for web and app events, SDK implementations, consent signals, and customer journeys

 * Test end-to-end data flows across platforms such as Databricks, mParticle, Braze, and OneTrust, including API integrations and audience activation

 * Validate batch and near real-time data pipelines, transformations, data quality, freshness, and latency against defined SLAs

 * Use SQL and Python to identify data anomalies, validate large datasets, and automate regression testing

 * Build API mocks and automated integration tests to ensure data and customer actions flow correctly between systems

 * Establish automated data quality and schema validation rules to detect corrupted records, data issues, and schema drift

 * Partner closely with Data Engineers and Martech teams to triage defects, identify root causes, and prevent recurring issues

 * Embed automated testing and data quality checks into CI/CD workflows and continuously improve the testing architecture

 * Validate consent and preference management across customer data flows to support GDPR, UK GDPR, and other privacy requirements.


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