At a Glance
- Tasks: Build and own data models on BigQuery for trading and finance.
- Company: Global exchange with a focus on AI and data innovation.
- Benefits: Competitive salary, exciting projects, and a chance to shape the future of FinTech.
- Other info: Opportunity to work on greenfield projects in a dynamic environment.
- Why this job: Join a cutting-edge team and make an impact in the AI-driven financial world.
- Qualifications: 5+ years in data engineering with GCP and BigQuery experience.
The predicted salary is between 80000 - 98000 £ per year.
A global exchange with a media and market data business attached are building out their AI & Data Platform team and need multiple Senior Data Engineers based in London to help the business move to Google Cloud and become AI-ready for the multi-agent projects in the pipeline.
If you're at a Google Cloud partner and you've spent years implementing this stack for other businesses, BigQuery, Composer, Looker, enterprise agent platform then this is the role where you can own it. You build it, you run it, and the output feeds real trading and compliance decisions on a live, regulated exchange operating at huge scale.
What you'll be doing:
- Building and owning dbt models on BigQuery across trading, finance, and regulatory domains
- Supporting both BI users (Looker dashboards) and AI agents consuming governed data via MCP
- Owning pipeline reliability during London hours; incident response, schema drift, reconciliation breaks
- Semantic layer work that needs to be precise enough for AI agents to query correctly
What they're looking for:
- 5+ years in data engineering, production pipelines, layered architectures
- GCP / BigQuery hands-on experience, as well as other Google Cloud services.
- Looker / LookML is a plus
If you're looking to join a business with plenty of greenfield projects, who are serious about AI and likes the idea of being in the FinTech world, this could be a great fit. Comp is competitive and reflective of experience.
Senior Data Engineer (GCP) in City of London employer: Orbis Group
Join a forward-thinking global exchange in London, where innovation meets opportunity. As a Senior Data Engineer, you'll be part of a dynamic team dedicated to building cutting-edge AI and Data Platforms, with ample opportunities for professional growth and development. Enjoy a collaborative work culture that values your expertise and offers competitive compensation reflective of your experience, all while contributing to impactful projects in the FinTech space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (GCP) in City of London
✨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 Orbis Group!
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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 Data Engineer (GCP) at Orbis Group.
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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 Orbis Group.
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When you find a suitable opening like Senior Data Engineer (GCP) at Orbis Group, 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 Data Engineer (GCP) in City of 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.
