Massive Rocket
Job Description
Quick Facts
- Work Policy: Remote (Remote-first across Europe / UK; valid local work authorization required without visa sponsorship; BYOD policy)
- Job Type: Contract (Fixed-term contract)
- Experience Level: Mid-Senior
- Core Tech Stack: SQL, Python, Databricks (Delta Lake), mParticle, Braze, OneTrust, ThoughtSpot, REST APIs, Airflow/dbt
About Massive Rocket
Massive Rocket is a fast-growing Braze and Snowflake agency helping enterprise clients across the US, EMEA, and APAC unify customer data and automate cross-channel engagement. As a Certified Level 4 Orbit Braze Partner and mParticle Solutions Partner of the Year, Massive Rocket combines cloud, data, web, mobile, and AI engineering with an entrepreneurial, high-ownership remote-first culture.
About the Role
Massive Rocket is hiring an SDET (MarTech & Data) on a fixed-term contract to architect, build, and maintain the automated testing framework safeguarding a complex customer data ecosystem. Embedded within an engineering team, you will act as the technical gatekeeper of the “Golden Record” across Databricks, mParticle, Braze, OneTrust, and ThoughtSpot—writing automated code to validate data pipelines, cross-platform APIs, and user journey SDKs.
What You’ll Do
- Architect and implement automated validation frameworks verifying identity resolution/stitching logic, schema compliance, and data contracts in Databricks prior to downstream activation.
- Develop and maintain automated behavioral and UI test scripts simulating end-to-end customer journeys across mobile and web applications.
- Programmatically verify that OneTrust consent tokens, mParticle tags, and behavioral events fire accurately at the application layer.
- Validate critical data pipelines flowing across the Databricks, mParticle, Braze, and OneTrust stack.
- Author automated integration tests and mock API payloads to confirm user suppression and activation propagate properly across platforms.
- Design and execute end-to-end tests for data ingestion pipelines (CRM, App, Web, POS) to confirm accurate cleaning, standardization, and transformation.
- Monitor data freshness and latency against near real-time SLAs and maintain automated data hygiene checks to detect schema drift and corrupted records.
- Audit data pipelines to verify strict adherence to preference and consent rules under GDPR, UK GDPR, and global privacy standards.
What You’ll Need
- Bachelor’s degree in Data Engineering, Computer Science, or a related technical field.
- Advanced mastery of SQL for complex data validation, including writing queries that detect anomalies across millions of records.
- Strong proficiency in Python for interacting with APIs and building automated test suites.
- Proven track record designing and building data test automation frameworks from scratch.
- Hands-on experience testing inside Databricks (or an equivalent cloud data warehouse/lakehouse) with solid knowledge of Delta Lake architectures.
- Experience validating complex streaming/near real-time and batch data transformations, including familiarity with dbt or Airflow.
- Practical experience testing Customer Data Platforms (especially mParticle), covering event ingestion, identity stitching, and downstream audience syncs.
- Ability to triage data anomalies, track pipeline defects in Jira, and collaborate with Data Engineers to prevent regressions.
- Experience testing REST APIs and verifying cross-system data payloads (such as POS events triggering Braze data points).
- Must hold valid work authorization in your country of residence (visa sponsorship is not offered), provide your own device (BYOD), and complete ID and reference checks.
Nice to Have
- Familiarity with Braze data ingestion via Cloud Data Ingestion (CDI) or the Data Track API.
- Experience testing CDP-to-engagement workflows such as mParticle event forwarding and audience syncs into Braze.
- Hands-on experience validating consent and privacy compliance using OneTrust.
- Experience integrating automated data quality checks into CI/CD pipelines (GitLab CI, GitHub Actions).
Benefits
- Remote-first flexibility allowing you to work from anywhere within eligible European/UK regions.
- Collaborative, global engineering crew across Europe, the US, and beyond, supported by team meetups and events.
- High-ownership culture with fast-paced learning and clear career growth opportunities.
To apply for this job please visit jobs.lever.co.