SDET (Part-time)

As an SDET, you'll build the automated testing frameworks that ensure the quality, reliability, and integrity of our customer data ecosystem. This is a hands-on engineering role focused on automating quality rather than manually testing it.

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

Nice to have

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

Benefits

Rocket-Fuelled Growth – Big challenges, fast learning, and the chance to level up quicker than anywhere else; A Culture That Actually Gives a Damn – Supportive, positive, and built around people who want to see you win; A Global Crew – Collaborate with brilliant teammates across Europe, the US, and beyond; Remote-First for Life – Work from wherever you feel your best; Real Career Momentum – Clear progression, real ownership, and space to grow into your next chapter; Moments That Matter – Meetups, events, and team experiences that make the journey unforgettable