
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.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - United Kingdom | €6,945/per month | €10,122/per month | €15,740/per month |
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
Education Level
No degree required
| Location | Active listings |
|---|---|
| Remote - Europe | 2 |
| Anywhere in Europe | 1 |
| Role type | Active listings |
|---|---|
| CRM Consultant | 1 |
| CRM Team Lead | 1 |
| Role level | Active listings |
|---|---|
| Senior | 2 |
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