[Hiring] Software Development Engineer in Test @Massive Rocket

Role Description

As an SDET (Martech & Data) at Massive Rocket, you’ll design, build and maintain the automated testing architecture that protects the integrity, reliability and velocity of a customer data ecosystem. This is a fixed-term contract role. Working within an embedded team, you’ll be the engineering gatekeeper of the “Golden Record” as the core stack is optimised, including Databricks, mParticle, Braze, OneTrust and ThoughtSpot.

Your focus is writing code that tests code. You’ll build automated validation frameworks for complex data pipelines, simulate user behaviour across web and app SDKs, mock cross-platform API integrations, and ensure automated personalisation and experimentation frameworks scale without regression. You’ll work closely with Data Engineers to triage anomalies, resolve pipeline failures quickly and stop issues from recurring.

You’ll thrive here if you enjoy building test automation frameworks from scratch, owning defects end to end, and keeping data accurate, compliant and ready for activation.

What Will You Do?

• Design and implement automated validation frameworks that test data contracts, schema compliance and identity resolution/stitching logic in Databricks before data reaches downstream activation channels.
• Build and maintain automated UI and behavioural test scripts that simulate real-world customer journeys across web and app.
• Verify programmatically that behavioural events, mParticle tags and OneTrust consent tokens fire accurately at the application layer.
• Validate high-criticality data flows across the Databricks > mParticle > Braze > OneTrust ecosystem.
• Write automated integration scripts and mock API payloads to confirm actions propagate and correctly suppress or activate users across platforms.
• Design and run end-to-end tests for data collection pipelines (POS, Web, App, CRM), ensuring data is cleaned, standardised and transformed accurately for downstream use.
• Validate data freshness and latency against near real-time SLAs.
• Establish and maintain automated data validation and hygiene rules that detect corrupted records and schema drift in near real-time.
• Audit data flows to ensure consent and preference management is strictly followed across every system, in line with global privacy regulations such as GDPR and UK GDPR.

Qualifications

• Mastery of SQL for complex data validation, including writing scripts that identify anomalies across millions of records.
• Proficiency in Python for building automated test suites and interacting with APIs.
• Proven experience establishing data test automation frameworks from scratch.
• Hands-on experience testing within Databricks (or an equivalent cloud lakehouse/warehouse), with a deep understanding of Delta Lake or similar architectures.
• Proven experience validating complex data transformations across near real-time/streaming and batch pipelines, with familiarity with orchestration tools such as Airflow or dbt.
• Experience validating data flows through a Customer Data Platform, particularly mParticle, including event ingestion, identity resolution and audience syncs into downstream engagement platforms.
• Skill in triaging data anomalies, tracking pipeline failures in tools like Jira and working closely with Data Engineers to resolve issues quickly and prevent regression.
• Experience testing REST APIs and validating data payloads between systems (for example, checking that a POS event correctly triggers a Braze data point).
• A Bachelor’s degree in Computer Science, Data Engineering or a related technical field.

Bonus Points If You Have:

• Familiarity with how data is ingested into Braze via the Data Track API or Cloud Data Ingestion (CDI).
• Experience testing CDP-to-engagement data flows, such as mParticle audience syncs and event forwarding into Braze.
• Experience testing privacy compliance and consent frameworks using tools like OneTrust.
• Experience embedding data quality checks into CI/CD pipelines (GitHub Actions, GitLab CI).

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.

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.

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.