[Hiring] Data Team Lead @Massive Rocket

Role Description

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.

• 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

Qualifications

• 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
• 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
• 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

Requirements

• 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

Benefits

• Big challenges, fast learning, and the chance to level up quicker than anywhere else
• Supportive, positive, and built around people who want to see you win
• Collaborate with brilliant teammates across Europe, the US, and beyond
• Work from wherever you feel your best
• Clear progression, real ownership, and space to grow into your next chapter
• Meetups, events, and team experiences that make the journey unforgettable