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For Companies At a Glance
- Tasks: Design and build modern data solutions using Databricks on the cloud.
- Company: Join a next-gen data & AI consultancy making real-world impact.
- Benefits: Enjoy a hybrid working model and strong focus on personal development.
- Why this job: Work on high-impact projects and lead a tight-knit team of specialists.
- Qualifications: 6+ years in data engineering with expertise in Databricks, Python, and SQL.
- Other info: Opportunity to mentor engineers and contribute to pre-sales activities.
The predicted salary is between 60000 - 85000 £ per year.
Job Description
❄️ Senior Snowflake Data Engineer | London | £90k + Bonus
Omnis Partners is recruiting for a Senior Data Engineer specialising in Snowflake to join our client's expanding consultancy practice.
🎯 The Opportunity
Join a market-leading data consultancy working in direct partnership with Snowflake Professional Services. You'll lead enterprise-scale implementations while mentoring junior engineers and shaping technical strategy for FTSE clients.
🛠️ What We Need
- 5+ years data engineering experience with strong Snowflake platform expertise including Snowpipe, Snowpark, and Dynamic Tables
- Advanced Python & SQL skills and cloud platform experience (AWS/Azure/GCP)
- Proven client-facing capabilities and leadership experience
- SnowPro certifications highly valued
💰 What's On Offer
- Starting at £70k+ with performance bonus
- 20 dedicated development days annually
- Funded professional certifications
- Structured career progression framework
- Hybrid working with 2-3 days office/client site in Central London
🚀 Why This Role Matters
This isn't just another data engineering position. You'll be working exclusively on cutting-edge Snowflake implementations, collaborating directly with Snowflake's professional services team, and building the next generation of enterprise data solutions.
Ready to take your Snowflake expertise to the next level?
Senior Data Engineer employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its features. Since this role requires expertise in Databricks, consider engaging in online courses or tutorials that focus on building data pipelines and optimising performance within the platform.
✨Tip Number 2
Brush up on your Python and SQL skills. As you'll be creating scalable pipelines, practice coding challenges or projects that involve data manipulation and analysis to demonstrate your proficiency during interviews.
✨Tip Number 3
Network with professionals in the data engineering field. Attend meetups or webinars related to data engineering and AI, as these connections can provide insights into the industry and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS or Azure. Be ready to share specific examples of how you've implemented data solutions in the cloud, as this will showcase your hands-on experience and technical knowledge.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 6+ years of experience in data engineering, specifically focusing on your expertise with Databricks, Python, and SQL. Use keywords from the job description to ensure it aligns with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, emphasise your client-facing skills and your ability to turn business challenges into effective data strategies. Mention specific projects where you've led teams or mentored engineers to showcase your leadership capabilities.
Showcase Relevant Projects: Include examples of modern data solutions you have designed and built using Databricks on AWS or Azure. Highlight any high-performance pipelines you developed and the impact they had on previous businesses.
Prepare for Technical Questions: Anticipate technical questions related to data engineering, Databricks, and cloud platforms during the interview process. Be ready to discuss your coding skills in Python and SQL, as well as your familiarity with DevOps practices.
How to prepare for a job interview at Omnis Partners
✨Showcase Your Databricks Expertise
Make sure to highlight your experience with Databricks during the interview. Be prepared to discuss specific projects where you've deployed Databricks, developed pipelines, and optimised performance. This will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Client-Facing Skills
Since the role requires strong client interaction, be ready to share examples of how you've successfully communicated complex data strategies to non-technical stakeholders. This will show that you can bridge the gap between technical solutions and business needs.
✨Prepare for Technical Questions
Expect in-depth technical questions related to Python, SQL, and cloud platforms like AWS or Azure. Brush up on your coding skills and be ready to solve problems on the spot. This will help you showcase your hands-on experience and problem-solving abilities.
✨Discuss Mentorship and Leadership Experience
As a senior position, you'll likely be expected to lead and mentor others. Prepare to talk about your previous experiences in mentoring engineers or leading teams. Highlight any successful outcomes from your leadership to illustrate your capability in this area.
