Job Description
Who Are Massive Rocket?
Massive Rocket is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies. If you’re excited by innovation, love solving complex challenges, and want to help shape the future of digital experiences, you’ll feel right at home here.
Every role at Massive Rocket is entrepreneurial. The people who thrive here don’t just focus on their own remit — they understand the goals of the teams around them and actively contribute to the success of their colleagues, customers, and partners. We’re building a culture of ownership, collaboration, and growth, and we’re looking for people who want to make a real impact.
Who Are We Looking to Add to Our Team?
As an SDET – Martech & Data, 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.
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.
What Makes You a Great Fit
• 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
Why You’ll Love Working Here
• 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
A Few Things to Know Before We Get Started
Bring Your Own Device – We operate a BYOD policy, so you’ll use your own kit for work
Right to Work – You’ll need a valid work visa; we’re not able to offer sponsorship at the moment
ID Checks – We may ask for proof of identity (passport, ID card, or a recent utility bill)
References – We may request two references, so have names, relationships, and contact details ready
For Contractors – Proof of incorporation and up‑to‑date insurance is required
A Quick Note on Applications
We receive a high volume of applications, and while we’d love to reply to everyone personally, it’s not always possible. If you haven’t heard from us within two weeks, it sadly means you haven’t been successful this time. But don’t let that stop you—we’re growing fast, and new opportunities open up all the time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
