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Est. Monthly
Estimated €7,456 - €12,787
Posted July 30, 2026 · 30 days agoLast seen August 26, 2026Est. expiry September 3, 2026

SDET

SDET (Part-time)
How this salary compares
Salary Context: SDET

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Remote - United Kingdom"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€6,945–€15,740). The listed pay band (€621–€1,066) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 4 comparable listings.

Monthly salary comparison for SDET
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
All roles in Remote - United Kingdom€6,945/per month€10,122/per month€15,740/per month
About the role

As an SDET, you'll build the automated testing frameworks that ensure the quality, reliability, and integrity of our customer data ecosystem. 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. Please note this role is part time (Monday / Tuesday / Wednesday half day). 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.

Job Details

Responsibilities

  • 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.

Requirements

  • 4+ years of experience in SDET, Data QA, Automation Engineering, or a similar software/data testing role
  • Strong SQL and Python skills
  • Experience building automated data testing or quality frameworks
  • Experience testing cloud data platforms (Databricks, Snowflake, BigQuery) and data pipelines
  • Experience testing ETL/ELT pipelines with dbt, Airflow or similar
  • Strong API testing experience (REST APIs, payload validation, mocking)

Skills & Technologies

SQLPythonDatabricksSnowflakeBigQuerydbtAirflowREST APIsSDK testing

Education Level

No degree required
Seen 2 days agoOpen ApplicationPartial Schema
Massive Rocket logo
Massive Rocket · 3 open roles
Top locations: Remote - Europe · 2 · Anywhere in Europe · 1
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Current open roles at Massive Rocket on JobCrawls
LocationActive listings
Remote - Europe2
Anywhere in Europe1
Current role mix at Massive Rocket on JobCrawls
Role typeActive listings
CRM Consultant1
CRM Team Lead1
Current role-level mix at Massive Rocket on JobCrawls
Role levelActive listings
Senior2

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