Senior Data Engineer - Snowflake & Lakehouse Architect

Senior Data Engineer - Snowflake & Lakehouse Architect

Full-Time 70000 - 105000 € / year (est.) No home office possible
V

At a Glance

  • Tasks: Architect and scale complex data ecosystems using Snowflake and Spark.
  • Company: Vivanti Consulting, known for its supportive work culture and mentorship.
  • Benefits: Professional growth opportunities and a collaborative environment.
  • Why this job: Make a significant impact in data engineering while learning from experienced mentors.
  • Qualifications: 7+ years of experience in building scalable data pipelines and strong data governance knowledge.

The predicted salary is between 70000 - 105000 € per year.

Vivanti Consulting is seeking a Principal Data Engineer to architect and scale complex data ecosystems. The ideal candidate will have over 7 years of experience in building scalable data pipelines using tools like Snowflake and Spark, and possess a strong knowledge of data governance and lifecycle management.

Join us to make a significant impact while enjoying a supportive work culture and a platform for professional growth, backed by experienced mentors and robust learning opportunities.

Senior Data Engineer - Snowflake & Lakehouse Architect employer: Vivanti Consulting

At Vivanti Consulting, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong emphasis on professional development, our team members benefit from mentorship and continuous learning opportunities, making it an ideal environment for those looking to advance their careers in data engineering. Located in a vibrant area, we offer a unique chance to work on impactful projects while enjoying a supportive atmosphere that values each individual's contributions.

V

Contact Detail:

Vivanti Consulting Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer - Snowflake & Lakehouse Architect

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake and Spark. A friendly chat can lead to insider info about job openings or even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your expertise in building scalable systems and data governance.

Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising your problem-solving skills and being ready to discuss your experience with data lifecycle management.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Senior Data Engineer - Snowflake & Lakehouse Architect

Data Engineering
Snowflake
Spark
Data Governance
Data Lifecycle Management
Scalable Data Pipelines
Architectural Design

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Snowflake and Spark. We want to see how you've built scalable data pipelines, so don’t hold back on the details!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our team. We love hearing about your journey and what drives you.

Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! We’re interested in seeing real examples of your work, especially those that demonstrate your knowledge of data governance and lifecycle management.

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Vivanti Consulting

Know Your Tech Inside Out

Make sure you’re well-versed in Snowflake and Spark. Brush up on your experience with building scalable data pipelines and be ready to discuss specific projects where you’ve implemented these tools. The more detailed examples you can provide, the better!

Understand Data Governance

Since the role involves data governance and lifecycle management, it’s crucial to demonstrate your knowledge in these areas. Prepare to talk about how you've ensured data quality and compliance in past projects. This will show that you understand the bigger picture of data management.

Showcase Your Problem-Solving Skills

Be prepared to tackle hypothetical scenarios or case studies during the interview. Think about challenges you’ve faced in previous roles and how you overcame them. This will highlight your analytical skills and ability to architect complex data ecosystems.

Cultural Fit Matters

Vivanti Consulting values a supportive work culture, so don’t forget to express your enthusiasm for collaboration and mentorship. Share experiences where you’ve worked well in teams or helped others grow, as this aligns with their focus on professional development.