Data Team Lead

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 Data Team Lead at Massive Rocket, you’ll lead our data engineering function and shape how data, AI, and machine learning power client outcomes across the business. You’ll operate at the intersection of data infrastructure, intelligent systems, and customer experience — enabling clients to unlock value from their data through scalable, secure, and high-performing solutions. You’ll be responsible for building and developing a high-performing team of data engineers and data scientists, defining technical direction, and ensuring consistent delivery excellence across all engagements. Working closely with CRM, Strategy, and Growth teams, you’ll translate business challenges into robust data architectures, pipelines, and AI-driven capabilities. This is a critical leadership role focused on technical excellence, team growth, and measurable business impact — ensuring Massive Rocket continues to deliver intelligent, data-led solutions at scale. What Will You Do?

• Lead, mentor, and scale a high-performing team of data engineers and data scientists
• Define and drive the data architecture vision, technical standards, and best practices across client engagements
• Champion AI/ML initiatives, identifying opportunities for automation, modelling, and intelligent activation
• Oversee end-to-end delivery of data platforms, pipelines, and tooling across client projects
• Ensure strong data governance, security, and compliance across all workflows
• Collaborate with CRM, Growth, and Strategy teams to align technical delivery with business objectives
• Partner with clients to translate business requirements into scalable technical solutions
• Manage vendor and platform relationships across cloud, data warehouse, and CDP ecosystems
• Optimise performance, reliability, and cost efficiency of data infrastructure and operations
• Represent Massive Rocket’s data capabilities in client conversations, proposals, and strategic engagements

What Makes You a Great Fit

• Leadership & Delivery

- 7+ years in engineering leadership roles focused on data and AI technologies - Proven experience managing and scaling cross-functional data teams (5–8+ direct reports) - Strong track record in hiring, mentoring, and developing technical talent - Experience delivering complex data programmes in high-growth or consulting environments

• Technical Expertise

- 10+ years of hands-on experience in data engineering and modern data stack architectures - Deep knowledge of enterprise data platforms such as Snowflake, BigQuery, Databricks, or similar - Experience with CDPs and data integration tools such as Segment, mParticle, Hightouch, or equivalent - Strong grounding in data architecture, governance, and security best practices - Familiarity with AI/ML ecosystems and orchestration tools (e.g. Airflow, dbt, SageMaker, MLflow) - Solid understanding of cloud platforms (AWS, Azure, GCP) and modern DevOps practices

• Business & Stakeholder Skills

- Strong stakeholder management experience, including working with senior and C-level clients - Ability to communicate complex technical concepts clearly to non-technical audiences - Experience operating in agency or consultancy environments with client-facing responsibilities - Strategic mindset, balancing technical debt, scalability, and commercial delivery priorities - English proficiency at C1 level

• Desirable

- Certifications in major cloud or data platforms (AWS, Snowflake, etc.) - Experience with real-time and streaming technologies (Kafka, Kinesis, etc.) - Background in MLOps and AI model deployment - Experience in marketing technology, customer data, or e-commerce analytics - Track record of scaling engineering teams in fast-growth environments 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. \n \n Apply To This Job