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Massive Rocket

Automated CRM program execution platform

Technical Lead - Martech Development Team

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in UKNo salary listed

About the Job

Requirements

  • At least 5 years of experience in Data Engineering, Analytics Engineering, or MarTech, including technical leadership and mentoring engineers.
  • Hands-on experience delivering production solutions using mParticle, Braze, and Databricks.
  • Strong understanding of MarTech ecosystems, customer engagement platforms, event tracking, identity resolution, and customer data models.
  • Experience building and optimising batch and streaming data pipelines using SQL, Python, PySpark, and Delta Lake.
  • Familiarity with dbt for data transformations and orchestration tools such as Airflow, Dagster, or Prefect.
  • Experience designing and delivering secure, resilient API, webhook, and event-driven integrations.
  • Strong understanding of engineering practices, including version control, continuous integration and continuous delivery, automated testing, code reviews, and release management.
  • Experience with monitoring, alerting, troubleshooting, and improving reliability across distributed data systems.
  • Knowledge of data privacy, consent management, GDPR, and data governance requirements.
  • Ability to translate business and marketing requirements into technical solutions and communicate trade-offs clearly.
  • Strong collaboration skills and the ability to influence Product, Marketing, CRM, Data, InfoSec, and external vendors.
  • A pragmatic approach to technical leadership that balances delivery speed with engineering quality and architectural standards.
  • Valid work visa; the employer does not offer sponsorship.
  • Contractors must provide proof of incorporation and up-to-date insurance.

Responsibilities

  • Translate approved technical designs into implementation plans, sprint-ready tasks, and clear technical acceptance criteria.
  • Lead development and delivery of MarTech data pipelines, integrations, and customer engagement solutions across mParticle, Braze, and Databricks.
  • Build and optimise batch and streaming data pipelines, APIs, webhooks, event schemas, and data models.
  • Ensure solutions meet requirements for scalability, resilience, security, observability, and cost efficiency.
  • Establish and maintain engineering standards across code quality, peer reviews, automated testing, continuous integration and continuous delivery, release management, and rollback processes.
  • Guide implementation of mParticle and Braze capabilities, including software development kit instrumentation, identity resolution, event tracking, audiences, Liquid personalisation, and Connected Content.
  • Work with Product Owners and Agile Delivery Managers on feasibility, estimates, technical priorities, dependencies, and delivery risks.
  • Set up monitoring, alerting, and data-quality checks to track pipeline performance, integrations, and customer engagement data flows.
  • Lead incident response and root cause analysis, ensuring issues are resolved and preventive measures are implemented.
  • Ensure integrations follow data privacy, consent, security, and governance requirements, including GDPR and relevant data protection policies.
  • Coach and mentor engineers through technical guidance, code reviews, knowledge sharing, and onboarding.
  • Identify opportunities to use generative AI and automation to improve engineering productivity while following security and governance standards.

Desired Qualifications

  • Experience with AWS services, Splunk, and CloudWatch for monitoring and operational support.
  • Familiarity with Braze Canvas, API-triggered messaging, Liquid personalisation, and Braze Currents.
  • Experience with mParticle Live Stream, connection rules, data filters, and event forwarding policies.
  • Knowledge of data reconciliation, consent synchronisation, data retention, and data subject request processes.
  • Experience working with Agile delivery teams and contributing to engineering guilds or technical communities.
  • Practical experience using generative AI tools for code generation, data modelling, documentation, and engineering workflows.

About the Company

Massive Rocket

Automated CRM program execution platform

Massive Rocket provides a standardized, automated approach to running CRM programs for Braze customers. It offers tools and processes designed to help Braze users achieve value quickly, consistently, and predictably by guiding the execution of CRM campaigns and workflows. How it works: The platform pairs ready-to-use tools and established processes with Braze-based CRM programs, offering repeatable workflows and automation to manage campaigns, communications, and measurement from start to finish. How it differs: It focuses on standardization and automation tailored to Braze customers, delivering consistent outcomes and faster time-to-value compared to ad hoc CRM efforts. Goal: Help Braze customers realize faster and more predictable improvements from their CRM programs by providing a clear, repeatable path from setup to measurable results.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2016

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