At a Glance
- Tasks: Build and scale modern data platforms using cutting-edge technologies.
- Company: Renowned tech-driven investment firm focused on innovation.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Exciting career prospects in a collaborative London-based environment.
- Why this job: Join a dynamic team to tackle complex engineering challenges and contribute to AI initiatives.
- Qualifications: Experience in systems design, scalable data platforms, and strong troubleshooting skills.
The predicted salary is between 60000 - 80000 £ per year.
I'm working with a highly regarded technology-driven investment firm that is looking to hire a Data Platform Engineer to help modernise and scale a business-critical data platform. This is not a traditional market data role. The focus is on building modern data infrastructure, distributed systems and large-scale data platforms using a contemporary Python-based stack.
You'll be working on:
- Building and scaling data platforms and pipelines
- Developing modern lakehouse and data infrastructure capabilities
- Improving platform reliability, observability and performance
- Solving complex engineering and data challenges across the stack
- Contributing to AI-enabled platform initiatives
Tech environment includes:
- Apache Iceberg
- Cloud and DevOps tooling
- Modern data lake / lakehouse architectures
They're particularly interested in engineers from:
- AI companies
- Platform engineering environments
Ideal profile:
- Systems design and architecture capability
- Experience building scalable data platforms or distributed systems
- Strong debugging and troubleshooting skills
- Broad engineering ownership across infrastructure and application layers
- Curious, pragmatic mindset with an interest in modern AI tooling
Market data or financial services experience is not required. The team already has deep domain expertise and is far more interested in exceptional engineers who can build robust, scalable technology. London-based - 3 days in office. If you're interested in hearing more, feel free to reach out directly.
Distributed Systems Engineer (Data Platform) in London employer: Orbis Group
Join a forward-thinking technology-driven investment firm that prioritises innovation and employee growth. With a collaborative work culture in London, you'll have the opportunity to work on cutting-edge data platforms while enjoying a supportive environment that encourages continuous learning and development. The firm offers competitive benefits and a unique chance to contribute to AI-enabled initiatives, making it an excellent place for engineers looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Distributed Systems Engineer (Data Platform) in London
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We think you need these skills to ace Distributed Systems Engineer (Data Platform) in London
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 Orbis Group, 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 Orbis Group. 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 Orbis Group
✨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 Orbis Group!
✨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.
