At a Glance
- Tasks: Design secure, scalable solutions using cutting-edge Earth data and technology.
- Company: Join Xoople, a pioneering tech company transforming Earth’s data infrastructure for AI.
- Benefits: Competitive salary, wellness support, flexible work options, and continuous learning opportunities.
- Other info: Be part of a mission-driven team creating world-first capabilities in Earth intelligence.
- Why this job: Make a real impact by embedding Earth intelligence into business workflows.
- Qualifications: Bachelor's degree in computer science or related field; 6+ years of relevant experience.
The predicted salary is between 63000 - 77000 £ per year.
Xoople is Earth’s System of Record™ At Xoople, we're building the Earth's data infrastructure layer for AI.
Our mission is to enable AI to understand and predict physical changes on the world's surface by creating Earth’s System of Record™—a trusted, enterprise-grade data foundation that connects the physical world to digital systems.
Xoople is Earth’s System of Record™ At Xoople, we're building the Earth's data infrastructure layer for AI.
Our mission is to enable AI to understand and predict physical changes on the world's surface by creating Earth’s System of Record™—a trusted, enterprise-grade data foundation that connects the physical world to digital systems.
By transforming vast amounts of Earth observation data into actionable insights, we help enterprises and governments make faster, smarter decisions about risk, operations, sustainability, and growth.
Working at Xoople means joining a team creating a world-first capability that will fundamentally change what AI can understand and do, bringing real-world context into every business decision.
About The Role Join our Industry Solutions Engineering team to design secure, scalable solutions using Xoople’s data and technology capabilities.
You will connect customer needs with Product, Engineering, Commercial teams, and technology partners, helping integrate trusted Earth intelligence into business workflows and demonstrate clear customer value.
Flexible work model depending on location (Spain or the UK) Impact You Own Translate customer and industry requirements into practical, high-value solutions using Xoople’s data and technology capabilities.
Design and deliver secure, scalable integrations that embed Earth intelligence into enterprise, data, and geospatial workflows.
Build reusable solution patterns, accelerators, APIs, and technical assets that shorten delivery times and enable adoption across customers and sectors.
Develop Minimum Viable Solutions that demonstrate technical feasibility, measurable customer value, and readiness to scale.
Partner with Product, Engineering, Commercial teams, and technology partners to share customer insight, shape product decisions, and resolve technical challenges.
Build customer and partner confidence through well-governed, reliable solutions, clear technical documentation, and compelling demonstrations.
What We’re Looking For Bachelor's degree in computer science, Data Science, or a related discipline, or equivalent practical experience; excellent written and spoken English. 6+ years of hands‑on experience designing and delivering cloud-native Data an advanced degree or relevant cloud, data, AI, or geospatial certification; experience developing data products with AI models and data science; and hands‑on knowledge of Microsoft Azure, Databricks, the Esri Enterprise stack, Docker, Kubernetes, infrastructure as code, or CI/CD practices.
What We Offer We offer a competitive compensation and benefits package designed to support your wellbeing and growth, together with meaningful ownership, continuous learning and the opportunity to build a world-first Earth data capability with a global, mission-driven team.
Our Value in Action Our vision is ‘To be the most trusted source of Earth intelligence’ .
We Live It Through Four Guiding Principles Everyone is welcome.
We value uniqueness and authenticity.
Think beyond boundaries.
Real change comes from listening and thinking differently.
Make a positive difference.
We exist to protect tomorrow — for the planet and people’s lives.
Together we are stronger.
We partner, share expertise and win as one.
DEI
Senior Solutions Engineer employer: Xoople
Xoople provides a unique opportunity to work on groundbreaking technology that fundamentally changes AI's capabilities. The company promotes a collaborative work culture and supports professional development, making it an attractive employer for those looking to grow in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Xoople!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Solutions Engineer at Xoople.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Xoople.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Solutions Engineer at Xoople, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Solutions Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Xoople, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Xoople. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Xoople
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Xoople!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
