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- Tasks: Design and implement data engineering solutions using Azure Databricks.
- Company: Join Korn Ferry, a leader in unleashing potential in people and teams.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for extensions and career advancement.
- Why this job: Make an impact by optimising data processing for massive datasets in a collaborative environment.
- Qualifications: 6-8 years of Data Engineering experience with Azure Databricks mastery.
The predicted salary is between 60000 - 80000 £ per year.
Location: Hybrid - 3 days on site in City of London, 2 days remote
Duration: 6 months, with extensions expected
We're looking for a Data Software Engineer - Azure Databricks to join our client team in London, UK in a hybrid working mode. In this role, you will design and implement data engineering solutions leveraging Azure Databricks and related Azure services to build large-scale, high-performance data pipelines. You will collaborate across teams to meet project requirements, deliver robust solutions and optimize data processing for massive datasets, ensuring project success in a collaborative, fast-paced environment.
Responsibilities
- Develop and implement scalable data engineering solutions using Azure Databricks
- Design and optimize data pipelines for multi-million record datasets
- Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions
- Monitor and enhance performance of data workflows across Azure services
- Participate in stakeholder discussions and communicate project status effectively
- Identify and resolve technical issues, escalating as appropriate for timely resolution
Requirements
- 6-8 years of experience in Data Engineering, with mastery of Azure Databricks
- Proven experience in designing and implementing complex data pipelines using Azure Data Factory and Databricks
- Knowledge of Scala for development is highly desirable
- Strong performance optimization experience for large-scale data environments
- Solid understanding of Azure cloud services and data processing frameworks
Nice to Have
- Experience in Agile delivery frameworks and practices
- Databricks certification
- Familiarity with CI/CD pipelines for data engineering projects
Data Software Engineer (Azure Databricks) in City of London employer: Korn Ferry
Contact Detail:
Korn Ferry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Software Engineer (Azure Databricks) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Azure Databricks. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure Databricks. This can be a game-changer during interviews, as it gives you a chance to demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Azure services and data processing frameworks. Practice coding challenges related to data pipelines and performance optimisation. We recommend using platforms that simulate real interview scenarios to get you ready.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team and make an impact in the data engineering space.
We think you need these skills to ace Data Software Engineer (Azure Databricks) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and data engineering. We want to see how your skills match the job description, 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 passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your mastery of Azure services and any experience with Scala. We’re looking for someone who can hit the ground running, so highlight those technical skills that make you stand out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Korn Ferry
✨Know Your Azure Databricks Inside Out
Make sure you brush up on your Azure Databricks knowledge. Be ready to discuss how you've used it in past projects, especially focusing on designing and implementing data pipelines. Prepare examples that showcase your mastery of the platform.
✨Showcase Your Problem-Solving Skills
Be prepared to talk about specific technical challenges you've faced in data engineering. Highlight how you identified issues, the steps you took to resolve them, and the impact of your solutions. This will demonstrate your ability to think critically and act decisively.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be ready to share experiences where collaboration was key to project success. Discuss how you gathered requirements and communicated effectively with stakeholders to ensure everyone was on the same page.
✨Optimise for Performance
Performance optimisation is crucial in this role, so come armed with examples of how you've enhanced data workflows in the past. Talk about the techniques you used and the results achieved, as this will show your understanding of large-scale data environments.