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- Tasks: Design and maintain data solutions for a next-gen investment data platform.
- Company: Global investment management firm based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact on investment decisions with your data skills.
- Qualifications: 3+ years of experience in software engineering, especially with SQL, Python, and C#.
- Other info: Collaborative environment focused on solving complex data challenges.
The predicted salary is between 43200 - 72000 £ per year.
A global investment management firm in London is looking for a Full-Stack Data Engineer to join their Investment Data team. This role involves designing and maintaining data solutions, working with stakeholders, and contributing to a next-generation data platform.
Candidates should possess strong software engineering skills, particularly in SQL, Python, and C#.
The ideal applicant will have 3+ years of experience and a passion for solving complex data challenges while directly supporting investment decisions.
Data Engineer – Snowflake Data Platform Builder employer: Orbis Investment Management Limited
Contact Detail:
Orbis Investment Management Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Snowflake Data Platform Builder
✨Tip Number 1
Network like a pro! Reach out to folks in the investment management space, especially those who work with data. A friendly chat can open doors and give you insights that might just land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL, Python, and C# projects. Whether it's a GitHub repo or a personal website, let us see how you tackle complex data challenges. This will make you stand out!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've contributed to data solutions in the past and how you can support investment decisions. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer – Snowflake Data Platform Builder
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and C#. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for solving complex data challenges and how you can contribute to our next-generation data platform. Keep it engaging and personal.
Showcase Your Experience: With 3+ years of experience, we want to know what you've done! Include specific examples of how you've designed and maintained data solutions in previous roles. This helps us see your impact!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Orbis Investment Management Limited
✨Know Your Tech Stack
Make sure you brush up on your SQL, Python, and C# skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Business
Research the investment management firm and understand their business model. Knowing how data solutions can impact investment decisions will show that you're not just a techie but also someone who understands the bigger picture.
✨Prepare for Problem-Solving Questions
Expect to tackle some complex data challenges during the interview. Practice explaining your thought process clearly and concisely, as this will demonstrate your analytical skills and ability to communicate effectively with stakeholders.
✨Show Your Passion
Let your enthusiasm for data engineering shine through! Share examples of how you've tackled data challenges in the past and express your eagerness to contribute to a next-generation data platform. A genuine passion can set you apart from other candidates.
