Senior Data Engineer: Databricks Lakehouse Architect in London
Senior Data Engineer: Databricks Lakehouse Architect

Senior Data Engineer: Databricks Lakehouse Architect in London

London Full-Time 70000 - 105000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design robust data pipelines and implement scalable data architectures.
  • Company: Vivanti Consulting, a supportive environment in Greater London.
  • Benefits: Growth opportunities, mentoring, and access to cutting-edge technologies.
  • Other info: Collaborate with cross-functional teams in an innovative setting.
  • Why this job: Join a dynamic team and make an impact with your data engineering skills.
  • Qualifications: 7+ years of experience with Python, Spark, SQL, and Databricks.

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

Vivanti Consulting in Greater London is looking for a Principal Data Engineer to design robust data pipelines and implement scalable data architectures. The ideal candidate will have over 7 years of experience with Python, Spark, SQL, and Databricks.

Responsibilities include:

  • Building data pipelines
  • Collaborating with cross-functional teams

Vivanti offers a supportive environment for growth, mentoring, and access to cutting-edge technologies.

Senior Data Engineer: Databricks Lakehouse Architect in London employer: Vivanti Consulting

Vivanti Consulting is an exceptional employer located in Greater London, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth and mentoring, team members are encouraged to develop their skills while working with cutting-edge technologies in data engineering. The supportive environment ensures that every employee can thrive and contribute meaningfully to impactful projects.
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Contact Detail:

Vivanti Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer: Databricks Lakehouse Architect in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or similar technologies. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best data pipelines and architectures. Use GitHub or a personal website to display your projects, especially those involving Python, Spark, and SQL. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills. Practice common data engineering problems and be ready to discuss your experience with Databricks. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨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 and engaged with our platform. Let’s get you that Senior Data Engineer role!

We think you need these skills to ace Senior Data Engineer: Databricks Lakehouse Architect in London

Python
Spark
SQL
Databricks
Data Pipeline Design
Scalable Data Architecture
Collaboration
Cross-Functional Teamwork

Some tips for your application 🫡

Show Off Your Experience: Make sure to highlight your 7+ years of experience with Python, Spark, SQL, and Databricks. We want to see how you've used these skills in real-world projects, so don’t hold back!

Tailor Your Application: Take a moment to customise your application for the role. Mention specific projects or experiences that align with designing data pipelines and scalable architectures. This helps us see why you’re a great fit!

Collaborate in Your Writing: Since collaboration is key in this role, share examples of how you've worked with cross-functional teams. We love to see teamwork in action, so let us know how you’ve contributed to group success.

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 us!

How to prepare for a job interview at Vivanti Consulting

✨Know Your Tech Inside Out

Make sure you brush up on your Python, Spark, SQL, and Databricks skills. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.

✨Showcase Your Pipeline Experience

Prepare to talk about your experience designing and building data pipelines. Have examples ready that demonstrate your ability to create robust and scalable architectures, and be prepared to explain your thought process behind those designs.

✨Collaboration is Key

Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in past projects.

✨Embrace the Growth Mindset

Vivanti Consulting values a supportive environment for growth, so express your eagerness to learn and adapt. Share instances where you sought out mentoring or took the initiative to learn new technologies, showing that you're proactive about your professional development.

Senior Data Engineer: Databricks Lakehouse Architect in London
Vivanti Consulting
Location: London

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