Data Quality Engineer

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.

As a Data Quality Engineer, you'll be the guardian of trust in our customer data ecosystem — profiling, validating, and monitoring data across pipelines to make sure what lands in our platforms is accurate, complete, and ready for activation.

You'll work across data, Martech, and engineering environments, digging deep into datasets with advanced SQL, building Python-based validation and monitoring frameworks, and testing 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, data-first engineering role. You'll spend as much time profiling and interrogating data as you do writing code — building the frameworks, checks, and monitors that catch issues before they reach the business. You'll 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)

• Profile large, complex datasets using advanced SQL to uncover anomalies, inconsistencies, duplication, and drift before they become production issues
• Build automated data quality and testing frameworks from scratch to validate customer data, schemas, data contracts, and identity resolution across the data ecosystem
• Design and maintain automated test suites tailored specifically to data pipelines — not general application testing — covering batch and near real-time flows
• Test end-to-end ETL/ELT pipelines across platforms such as Databricks, mParticle, Braze, and OneTrust, including API integrations and audience activation
• Validate data transformations, freshness, and latency against defined SLAs, and build monitoring to catch schema drift and corrupted records early
• Use Python and SQL together to automate regression testing, anomaly detection, and large-scale dataset validation
• Develop automated tests for web and app events, SDK implementations, consent signals, and customer journeys
• Build API mocks and automated integration tests to ensure data and customer actions flow correctly between systems
• Partner closely with Data Engineers and Martech teams to triage defects, identify root causes, and prevent recurring data quality issues
• Embed automated data quality checks into CI/CD workflows and continuously improve the testing and monitoring architecture
• Validate consent and preference management across customer data flows to support GDPR, UK GDPR, and other privacy requirements

• Advanced SQL & data profiling — deep, hands-on experience interrogating large, messy datasets to surface quality issues, not just writing reporting queries
• Proficiency in Python — comfortable building tooling, not just scripting
• Proven experience building automated testing frameworks from scratch, specifically tailored for data pipelines — you've architected a framework in an environment without mature tooling already in place, not just extended an existing one
• Cloud Data Warehouse experience with Databricks specifically — hands-on with Spark, Delta Lake, notebooks, and lakehouse architecture
• ETL/ELT pipeline testing — proven experience validating pipelines across batch and near real-time environments

• 4+ years of experience in Data Quality Engineering, Data QA, Analytics Engineering, SDET, or a similar data-focused testing role, ideally within Martech, Data, or B2C environments
• Familiarity with data quality and testing tools such as dbt, Great Expectations, Airflow, or similar
• Strong API testing experience, including REST APIs, payload validation, mocking, and cross-platform integration testing

• 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

• 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

• 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

Please note this role is part time (Monday / Tuesday / Wednesday half day)

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.