At a Glance
- Tasks: Lead the design and implementation of data serving layers for finance and reporting teams.
- Company: Engelhart, a growth-focused company in the heart of London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to driving data excellence.
- Why this job: Shape the future of data architecture and make a real impact in finance.
- Qualifications: Experience with ClickHouse, OLAP systems, and strong collaboration skills required.
The predicted salary is between 75600 - 92400 £ per year.
Engelhart in London seeks a Principal Data Engineer to own the intraday and end-of-day data serving layer between the CTRM platform and downstream consumers.
You will shape architecture, standards and practices to deliver trusted, timely data across finance, risk and reporting teams.
The role is hands-on and leadership-focused, requiring production Click House experience, columnar OLAP expertise, and strong collaboration with stakeholders.
Join a growth-oriented team driving data excellence.
Principal Data Engineer — Data Warehouse (ClickHouse) in London employer: Engelhart
Engelhart is an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and professional growth. As part of our Commodity Trading Analytics Internship Program in London, interns will gain invaluable hands-on experience while working alongside seasoned professionals in a fast-paced environment, contributing to impactful projects that shape the future of commodities trading. With a commitment to inclusivity and diversity, we ensure that every team member feels valued and empowered to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer — Data Warehouse (ClickHouse) in London
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We think you need these skills to ace Principal Data Engineer — Data Warehouse (ClickHouse) 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!
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Craft a Tailored Cover Letter:For a full-time role at Engelhart, 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 Engelhart. 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 Engelhart
✨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!
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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
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✨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.
