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For Companies At a Glance
- Tasks: Build and scale core data systems using Databricks and solve complex data challenges.
- Company: The Cruise Globe, a leading digital platform for cruise travellers.
- Benefits: Remote work, competitive salary up to £70k, and opportunities for growth.
- Why this job: Join a dynamic team where data is central to the product experience.
- Qualifications: Strong experience as a Data Engineer with proficiency in Python, SQL, and Databricks.
- Other info: Collaborate closely with product teams in a high-trust, startup environment.
The predicted salary is between 42000 - 70000 £ per year.
Who We Are
The Cruise Globe is building the world's leading digital platform for cruise travellers. At its core, The Cruise Globe is a data business. Our platform enables users to log cruises, visualise exact routes, track distances travelled, and explore detailed statistics about their journeys. As the product expands across new features and revenue streams, the quality, structure, and scalability of our data systems are fundamental to everything we do. We operate a small but experienced data function today, and we are now investing in a full-time hire to take our data platform to the next stage of maturity.
The Opportunity
We are hiring a Data Engineer to help build, scale, and maintain the data foundations of The Cruise Globe. This role exists because our data systems have reached an inflection point. We have an exceptional volume of data and strong foundations, but the business now needs more structure, automation, and scalability to support increasingly data-heavy product features. You will work closely with our existing senior data engineer and alongside product and engineering teams to design and operate production-grade data systems. Databricks is a foundational part of our stack, and this role will be central to shaping how it is used as the business grows. This is not a reporting or dashboard-focused role. It is a hands-on engineering role for someone who enjoys solving complex data challenges, and building durable systems that product teams can rely on with confidence.
Success in this role is defined by:
- The product team's ability to ship data-heavy features with confidence
- Data becoming more central to the user experience and value proposition
- A clear step-change in scalability, structure, and automation
- Reduced reliance on manual or ad-hoc data processes
What You'll Be Doing
- Build and Scale Core Data Systems
- Design, implement, and maintain scalable data systems using Databricks
- Help migrate and consolidate existing data workflows into a more robust architecture
- Ensure data structures are well-modelled, consistent, and fit for long-term use
- Support Data-Driven Product Features
- Work closely with product and engineering teams to enable data-heavy features
- Build reliable pipelines that power user-facing statistics and insights
- Ensure correctness, performance, and consistency as product usage scales
- Solving complex data challenges
- Building pipelines to handle and interpret large volumes of geospatial data
- Combining multiple geospatial data sources (ship tracks, port data, user locations) to deliver new insights
- Design, develop and improve algorithms handling geospatial and time series data
- Automation and Reliability
- Identify manual or fragile processes and automate them
- Improve the reliability and maintainability of existing data workflows
- Reduce operational overhead through thoughtful system design
- Collaborate Across the Business
- Work as part of a small, senior data function with shared ownership
- Collaborate closely with product and engineering teams day to day
- Contribute ideas and improvements rather than waiting for tightly scoped tickets
Core Requirements (Non-Negotiable)
- Strong experience as a Data Engineer in a production environment
- Solid working knowledge of Databricks as a core data platform
- Proficiency in Python and SQL (including Postgres or similar)
- Experience working with cloud infrastructure, ideally AWS
- Strong data modelling skills and a structured approach to system design
- An engineering mindset to solving complex data challenges
- Experience automating data workflows and improving system reliability
- Comfortable working in a startup environment with pace and ambiguity
- Clear, logical thinking and strong problem-solving ability
- Effective use of LLMs to support reasoning, debugging, and development through tightly scoped prompts
Nice to Have
- Exposure to GIS or spatial data concepts
- Experience working with product-led or consumer-facing platforms
- Familiarity with maritime, travel, or geospatial datasets
Who This Role Is For
This role is for someone who:
- Enjoys solving complex engineering challenges, not just building infrastructure
- Cares about structure, correctness, and long-term maintainability
- Wants to work where data is central to the product experience
- Is comfortable operating in a small, high-trust team
- Is a few years into their career and ready for more responsibility
- Enjoys not having rigidly defined work or being highly siloed
- Thrives evolving systems and incomplete information
- Doesn't want a BI or dashboard-only position
Benefits
Why Join Us?
- Data at the Core: Data is fundamental to our product and strategy, not an afterthought
- Real Engineering Work: Build systems that directly power user-facing features
- Experienced Team: Work alongside a highly experienced senior data engineer
- Autonomy: Design and implement systems, not just execute pre-defined tasks
- Room to Grow: Opportunity to take increasing ownership of the data platform over time
- Remote First: Work remotely with occasional collaboration in London
- Competitive Package: Salary up to £70k with scope to grow as the role evolves
Data Engineer in London employer: The Cruise Globe
Contact Detail:
The Cruise Globe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on 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 engineering projects, especially those involving Databricks or geospatial data. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world data challenges and discuss how you've automated workflows or improved system reliability in past roles.
✨Tip Number 4
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 team at The Cruise Globe.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Your Data Passion: When you're writing your application, let your enthusiasm for data shine through! Share specific examples of how you've tackled complex data challenges in the past. We love seeing candidates who are genuinely excited about building scalable data systems.
Tailor Your Application: Make sure to customise your application to highlight your experience with Databricks and Python. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements that demonstrate your expertise.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experience and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
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 at The Cruise Globe!
How to prepare for a job interview at The Cruise Globe
✨Know Your Data Tools
Make sure you’re well-versed in Databricks, Python, and SQL. Brush up on your knowledge of cloud infrastructure, especially AWS, as these are crucial for the role. Be ready to discuss how you've used these tools in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of complex data challenges you've tackled. Highlight your engineering mindset and how you approached these problems. The interviewers will want to see your thought process and how you can apply it to their data systems.
✨Understand Geospatial Data
Since the role involves handling geospatial data, familiarise yourself with relevant concepts and algorithms. Be prepared to discuss any experience you have with GIS or spatial datasets, as this could set you apart from other candidates.
✨Emphasise Collaboration
This position requires working closely with product and engineering teams. Share experiences where you collaborated effectively in a team setting, and demonstrate your ability to contribute ideas and improvements proactively.
