At a Glance
- Tasks: Lead innovative data solutions on Snowflake and collaborate with diverse teams.
- Company: Massive Rocket, a dynamic tech company focused on growth and collaboration.
- Benefits: Remote-first work, supportive culture, and opportunities for rapid career progression.
- Other info: Join a global team and enjoy meetups and unforgettable experiences.
- Why this job: Make a real impact with cutting-edge data technology and drive strategic business insights.
- Qualifications: 8+ years in data engineering, strong SQL skills, and experience with Snowflake.
The predicted salary is between 70000 - 90000 £ per year.
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 (Snowflake), you will lead the charge in crafting innovative, high-performance data solutions on Snowflake's cutting-edge cloud platform. Collaborating with diverse, cross-functional teams, you'll uncover opportunities to harness data, driving impactful business insights and strategic decisions.
In this role, you’ll manage vast datasets, execute intricate data transformations, and design robust data models. 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.
Role measures and responsibilitiesWhat Will You Do?
- Data Solution Design and Implementation
- Setting up and maintaining ETL pipelines in the 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.
- Deploying and configuring 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.
- Be able to 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.
- Bachelor's degree in Computer Science, Information Technology, or equivalent work experience.
- 8+ years of working as Snowflake Developer or in a similar role.
- 6+ years of experience in SQL and data modeling and ETL processes.
- 2+ years of experience of working with Python.
- Experience of working with DBT.
- Experience with Snowflake features such as Snowpipe, 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.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience working in an agency setting or experience working with external clients.
- English C1.
- Snowflake certification.
- Experience with other data warehousing solutions (e.g., Redshift, BigQuery).
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Understanding of data governance and security best practices.
- Experience working in Scrum.
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.
Senior Data Engineer employer: Massive Rocket
Contact Detail:
Massive Rocket Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Snowflake. This gives potential employers a tangible sense of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and Snowflake specifics. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at Massive Rocket.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with Snowflake, SQL, and data modelling, and show us how you can contribute to our collaborative culture.
Showcase Your Skills: Don’t just list your skills—demonstrate them! Use specific examples from your past work to illustrate how you've tackled complex data challenges and delivered impactful insights. We love a good story!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your experience and avoid jargon unless it’s relevant. We want to understand your journey without getting lost in technical terms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Massive Rocket
✨Know Your Snowflake Inside Out
Make sure you’re well-versed in Snowflake's features and functionalities. Brush up on your knowledge of ETL processes, data modelling, and performance optimisation techniques. Being able to discuss specific examples of how you've implemented these in past roles will show that you’re not just familiar with the platform but can also leverage it effectively.
✨Showcase Your Data Storytelling Skills
Prepare to demonstrate how you can turn complex data into compelling narratives. Think of examples where your analysis led to actionable insights for stakeholders. Practising how to explain technical concepts in simple terms will help you connect with non-technical interviewers and highlight your communication skills.
✨Collaborate Like a Pro
Since collaboration is key at Massive Rocket, be ready to discuss your experience working with cross-functional teams. Share specific instances where you’ve successfully aligned data strategies with other departments. This will show that you understand the importance of teamwork in achieving business goals.
✨Stay Ahead of Industry Trends
Familiarise yourself with the latest trends in data engineering and how they apply to Snowflake. Be prepared to discuss how you’ve integrated new technologies or methodologies into your work. This demonstrates your commitment to continuous learning and innovation, which aligns perfectly with the company’s culture of growth.