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- Tasks: Design and build a Snowflake-based Data Lakehouse for a dynamic fintech firm.
- Company: Innovative financial technology firm located in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a high-impact role and shape the future of data solutions in trading environments.
- Qualifications: 5–8 years of experience in data engineering and strong SQL skills required.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A dynamic financial technology firm in Greater London is looking for a Senior Data Engineer to design and build a Snowflake-based Data Lakehouse. This high-impact role requires proven experience in architecting scalable data platforms, especially in trading environments.
The candidate will develop ETL/ELT pipelines, implement data governance strategies, and collaborate across business units to deliver robust data solutions.
Ideal candidates have 5–8 years of experience, expertise in SQL, and strong communication skills.
Senior Snowflake Data Lakehouse Engineer employer: EC Markets
Contact Detail:
EC Markets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Snowflake Data Lakehouse Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Snowflake and data governance strategies. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data architecture knowledge. Be ready to discuss how you've tackled challenges in previous roles, particularly in trading environments, as this will resonate with hiring managers.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for the right roles. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Snowflake Data Lakehouse Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in building scalable data platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background fits into our dynamic team. We love hearing about your experiences in trading environments!
Showcase Your Technical Skills: Don’t forget to mention your expertise in SQL and any relevant tools or technologies you’ve worked with. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at EC Markets
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it fits into a Data Lakehouse environment. Be ready to discuss your past experiences with Snowflake and how you've used it to solve real-world problems.
✨Showcase Your ETL/ELT Expertise
Prepare to talk about your experience in developing ETL/ELT pipelines. Have specific examples ready that demonstrate your ability to design efficient data workflows. Highlight any challenges you faced and how you overcame them, as this will show your problem-solving skills.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role, so practice articulating your thoughts clearly. Be prepared to explain complex technical concepts in simple terms, especially when discussing data governance strategies. This will show that you can collaborate effectively across business units.
✨Research the Company and Its Culture
Take some time to learn about the financial technology firm and its values. Understanding their mission and how they operate will help you tailor your answers to align with their goals. Plus, it shows genuine interest, which can set you apart from other candidates.
