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- Tasks: Lead cloud-based data engineering projects and develop scalable solutions using Snowflake.
- Company: Next-gen tech consultancy focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
- Why this job: Make a real impact on exciting projects while leading and mentoring a talented team.
- Qualifications: 5+ years of data engineering experience with strong Python and SQL skills.
- Other info: Join a dynamic team with excellent growth potential in the tech industry.
The predicted salary is between 43200 - 72000 £ per year.
A next-generation technology consultancy is seeking a Senior Data Engineer to lead cloud-based data engineering projects. The role involves collaborating with clients and cross-functional teams to develop scalable solutions using Snowflake and cloud platforms like AWS, Azure, and GCP.
Ideal candidates will have over 5 years of data engineering experience and strong skills in Python and SQL. This role offers the chance to work on impactful projects and contribute to team growth through mentorship and technical leadership.
Senior Data Engineer: Snowflake & Cloud Solutions Lead employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Snowflake & Cloud Solutions Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake or cloud solutions. A friendly chat can lead to insider info on job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you've tackled challenges in past projects and be ready to discuss your approach to scalable solutions using Snowflake and cloud tech.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior Data Engineer: Snowflake & Cloud Solutions Lead
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of data engineering experience in your application. We want to see how you've tackled projects using Snowflake and cloud platforms like AWS, Azure, or GCP.
Be Specific with Skills: When listing your skills, be specific about your proficiency in Python and SQL. We love seeing concrete examples of how you've used these languages in your past work.
Collaborative Spirit: Since this role involves working with clients and cross-functional teams, share examples of how you've collaborated in the past. We’re looking for team players who can lead and mentor others!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and get you into our system quickly. We can’t wait to hear from you!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Snowflake, AWS, Azure, and GCP knowledge. Be ready to discuss how you've used these platforms in past projects, and think of specific examples where your skills in Python and SQL made a difference.
✨Showcase Your Leadership Skills
Since this role involves mentorship and technical leadership, prepare to share experiences where you've led a team or project. Highlight how you’ve helped others grow and how you approach problem-solving in a collaborative environment.
✨Understand the Company’s Vision
Research the consultancy's recent projects and their approach to technology. This will help you align your answers with their goals and demonstrate that you're genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about their data engineering practices, team dynamics, and future projects. This shows your enthusiasm for the role and helps you gauge if it’s the right fit for you.
