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Who Are Massive Rocket?
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
• 5+ years of engineering leadership experience within data and AI environments, with a proven track record of building, mentoring, and scaling high-performing cross-functional teams.
• 10+ years of hands-on experience in data engineering, with deep expertise across modern data platforms such as Snowflake, BigQuery, Databricks, and broader cloud ecosystems including AWS, Azure, or GCP.
• Strong understanding of data architecture, governance, security, and integration best practices, including experience with CDPs and tools such as Segment, mParticle, Hightouch, or equivalent.
• Experience working with AI/ML ecosystems and orchestration frameworks, including tools such as Airflow, dbt, SageMaker, MLflow, MLOps practices, and modern DevOps methodologies.
• Excellent stakeholder management and communication skills, with the ability to influence senior and C-level audiences, simplify complex technical concepts, and operate effectively within agency or consultancy environments.
• Strategic and commercially minded leader, capable of balancing scalability, technical excellence, delivery priorities, and business outcomes in fast-paced, high-growth organisations.
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. 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.
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