Senior Data Engineer CDP

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 Senior Data Engineer, you will lead the charge in crafting innovative, high-performance data solutions. Collaborating with diverse, cross-functional teams, you will leverage data to drive impactful insights, strategic decisions, and business outcomes. In this role, you’ll manage vast datasets, execute intricate data transformations, and design robust data models. You will bridge the gap between disparate data sources and actionable insights by building robust data integrations and managing the flow of information. Your expertise will ensure our data solutions are not only efficient but also at the forefront of industry advancements. Stay ahead of the curve by integrating the latest trends and best practices into our dynamic data ecosystem.

What Will You Do?

• Data Solution Design and Implementation: Set up and maintain ETL pipelines in a Snowflake environment across a variety of architectures (real-time and batch, internal/external storage systems, dynamic tables, tasks). Implement Snowflake solutions that integrate seamlessly with existing data architecture. Optimize the performance of Snowflake databases, including designing and implementing data structures and using indexes appropriately. Deployment and configuration of tools to monitor and report on the performance of the Snowflake system. Ensure data quality and integrity across all Snowflake data solutions (QA process, Unit Tests…).
• Data Analysis and Storytelling: Use large datasets and a variety of analytical techniques to tell compelling stories with the data in an easy-to-understand manner. Translate complex data analyses into actionable insights and recommendations for business stakeholders.
• Strategic Data Utilisation for Customer Engagement through Braze: Help build Snowflake into the core source of data to power Braze and Customer Engagement initiatives. Work through a Customer Engagement data plan and translate it into an actionable set of data models in Snowflake. Understand and work with core Customer Engagement and Braze concepts such as custom events, user attributes, and syncing data from Snowflake into Braze.
• Collaboration and Support: Collaborate with data engineers, analysts, and other stakeholders to ensure alignment on data strategy and implementation. Provide technical support and guidance to team members on Snowflake best practices and optimization techniques. Support customers in leveraging unused features of the Snowflake platform that can either provide efficiencies or cost-savings across the stack. Align with the internal CDP and CRM team to work on the data plan and therefore power the Braze platform in the most efficient way possible.

What Makes You a Great Fit

• Bachelor's degree in Computer Science, Information Technology, or equivalent work experience.
• 5+ years of Snowflake experience focused on architecture, maintenance, and optimization (or in a similar role).
• 4+ years of experience in SQL and data modeling and ETL processes.
• 2+ years of experience working with Python building custom data applications and transformations.
• Experience working with DBT for modular transformation.
• Experience with Snowflake features such as Snowpipe, Snowpark, Snowflake Data Sharing, and Snowflake Secure Data Sharing.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data integration tools.
• Proven ability in leveraging AI tools to enhance productivity in day-to-day professional tasks.
• Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders.
• Demonstrated experience working in an agency environment, with the ability to manage multiple clients and pivot at short notice.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent problem-solving skills and attention to detail.
• English at C1 level (or equivalent).

Preferred:

• Snowpro Advanced: Architect or Data Engineer certification.
• Experience with other data warehousing solutions (e.g., Redshift, BigQuery).
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Practical experience implementing or managing Customer Data Platforms (CDP), including data ingestion, identity resolution, and orchestrating real-time audience activation.
• Understanding of machine learning architectures and AI development environments (e.g., PyTorch, TensorFlow) and cloud-native AI services like Cortex AI.
• Understanding of data governance and security best practices.
• Experience working in a Scrum environment.

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.