At a Glance
- Tasks: Architect and scale data platforms for 200+ enterprise clients, ensuring high performance.
- Company: Global leader in scientific software with a focus on impactful innovations.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a high-energy team that values collaboration and problem-solving.
- Why this job: Make a global impact while working in a dynamic, collaborative environment.
- Qualifications: Experience in building data architectures for commercial SaaS products and strong technical skills.
The predicted salary is between 63000 - 77000 £ per year.
Are you a Principal Engineer who thrives on building high-scale, external-facing products rather than just internal dashboards? We are partnering with a global leader in scientific software whose enterprise platforms power critical innovations worldwide. They are looking for a Principal Data Engineer who brings sharp technical ownership and great energy to a collaborative team.
Location: London/ 2 days on-site
The Reality of the Challenge: This isn't about managing internal data pipelines for a single company. You will be architecting and scaling a core data platform designed to serve over 200+ enterprise clients simultaneously. We need someone who understands the high stakes of a true commercial SaaS product lifecycle—where system uptime, rigorous testing, and avoiding outages are everything.
What You’ll Do:
- Build for True Scale: Architect and scale modern data platforms capable of serving 200+ external enterprise clients simultaneously without breaking a sweat.
- Own the Product Lifecycle: Drive engineering excellence from initial requirements and refinement through to heavy testing and production deployment.
- Drive Team Energy: Bring a proactive, direct, and high-energy approach to the engineering team—helping unblock complex architecture challenges and elevating the people around you.
- Bridge Software & Data: Treat data infrastructure like a world-class software product, ensuring high availability, observability, and seamless performance.
- The SaaS Mindset: You must have a proven track record of building data architectures for commercial SaaS products, not just internal company BI. You understand the classic software development lifecycle and how to build to prevent system outages.
- The Data Stack: Deep, hands-on production experience with Databricks is preferred. (If your background is in Snowflake or BigQuery, that works perfectly too—provided it's paired with AWS).
- The Cloud Ecosystem: AWS is highly preferred. If your expertise lies in another ecosystem like GCP, you’ll need to have it tightly paired with Databricks experience.
The Vibe: You are collaborative, direct, and bring great energy to the room. You enjoy solving tough problems alongside a sharp team.
Why This Role? You get to work on a product that makes a genuine global impact, operating with the agility of a focused product team. It’s a high-trust, hybrid environment where your architectural choices directly impact the product's commercial success.
Data Engineer (Principal/Lead) in London employer: Trust In SODA
Trust In SODA is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within one of Europe's largest Kubernetes projects. Employees benefit from extensive growth opportunities, including AWS and CKA certification, while enjoying the flexibility of a hybrid working environment that promotes work-life balance and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Principal/Lead) in 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 Trust In SODA!
✨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 Data Engineer (Principal/Lead) at Trust In SODA.
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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 Trust In SODA.
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When you find a suitable opening like Data Engineer (Principal/Lead) at Trust In SODA, 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 Data Engineer (Principal/Lead) 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 Trust In SODA, 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 Trust In SODA. 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 Trust In SODA
✨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 Trust In SODA!
✨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.
