Data Lakehouse Engineer – Azure Databricks
Data Lakehouse Engineer – Azure Databricks

Data Lakehouse Engineer – Azure Databricks

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop data pipelines and automate tasks for a cutting-edge Data Lakehouse platform.
  • Company: Leading financial institution in the UK with a focus on innovation.
  • Benefits: Dynamic work environment, competitive salary, and opportunities for professional growth.
  • Why this job: Join a team that shapes data solutions and drives impactful change in finance.
  • Qualifications: Strong experience in Data Engineering, SQL, and Cloud platforms like Databricks.
  • Other info: Inclusive culture with collaboration between business and IT teams.

The predicted salary is between 36000 - 60000 £ per year.

A leading financial institution in the UK is looking for a Data Engineer to enhance their Data Lakehouse platform. The role involves developing data pipelines, automating tasks, and optimizing data delivery. Ideal candidates will have strong experience in Data Engineering, SQL, and Cloud platforms like Databricks. The position requires collaboration with business and IT teams to design data solutions. This opportunity provides a dynamic and inclusive work environment in London or Newcastle.

Data Lakehouse Engineer – Azure Databricks employer: RBC

As a leading financial institution in the UK, we pride ourselves on fostering a dynamic and inclusive work environment that encourages collaboration and innovation. Our employees benefit from extensive growth opportunities, competitive compensation, and a commitment to work-life balance, all while being part of a forward-thinking team in vibrant locations like London and Newcastle.
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Contact Detail:

RBC Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Lakehouse Engineer – Azure Databricks

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines and projects, especially those using Azure Databricks. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on your SQL and cloud platform knowledge. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past roles.

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.

We think you need these skills to ace Data Lakehouse Engineer – Azure Databricks

Data Engineering
SQL
Cloud Platforms
Databricks
Data Pipeline Development
Task Automation
Data Delivery Optimisation
Collaboration Skills
Data Solution Design

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, SQL, and Cloud platforms like Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Lakehouse Engineer position and how you can contribute to our team. Keep it concise but impactful!

Showcase Collaboration Skills: Since this role involves working with both business and IT teams, make sure to mention any past experiences where you’ve successfully collaborated across departments. We love teamwork at StudySmarter!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!

How to prepare for a job interview at RBC

Know Your Data Engineering Basics

Make sure you brush up on your data engineering fundamentals, especially around SQL and Azure Databricks. Be ready to discuss how you've developed data pipelines in the past and any challenges you've faced. This will show that you have the technical chops for the role.

Showcase Your Collaboration Skills

Since the role involves working with both business and IT teams, be prepared to share examples of how you've successfully collaborated in previous projects. Highlight your communication skills and how you’ve managed to bridge gaps between technical and non-technical stakeholders.

Prepare for Scenario-Based Questions

Expect scenario-based questions that test your problem-solving abilities. Think about specific situations where you had to optimise data delivery or automate tasks. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.

Research the Company Culture

Familiarise yourself with the company’s values and culture, especially since they emphasise a dynamic and inclusive work environment. Be ready to discuss how your personal values align with theirs and how you can contribute to their team spirit.

Data Lakehouse Engineer – Azure Databricks
RBC
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  • Data Lakehouse Engineer – Azure Databricks

    Full-Time
    36000 - 60000 £ / year (est.)
  • R

    RBC

    80,000+
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