At a Glance
- Tasks: Design and implement scalable data engineering solutions using Azure Databricks.
- Company: Join a dynamic team in a leading tech environment in London.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career development.
- Why this job: Make an impact by optimising data processing for massive datasets.
- Qualifications: 6-8 years in Data Engineering with expertise in Azure Databricks.
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
- 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 London employer: Korn Ferry
Join a forward-thinking team in the heart of the City of London, where innovation meets collaboration. As a Data Software Engineer, you'll benefit from a hybrid work model that promotes work-life balance while engaging in exciting projects that drive your professional growth. With a strong emphasis on employee development and a culture that values teamwork, this role offers a unique opportunity to make a significant impact in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Software Engineer (Azure Databricks) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Software Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Databricks. We recommend including links to GitHub repos or any live demos. This way, potential employers can see your expertise in action!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with data pipelines and Azure services. We suggest practicing common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that job!
We think you need these skills to ace Data Software Engineer (Azure Databricks) in 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 you've worked on!
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 engaging – we love a good story!
Showcase Your Technical Skills:When filling out your application, be specific about your technical expertise. Mention your experience with Azure Data Factory, Scala, and any CI/CD pipelines you've worked with. We’re looking for those details that set you apart!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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 your past experiences with designing and implementing data pipelines, especially using Azure Data Factory. Prepare specific examples of how you've optimised data workflows and tackled performance issues.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any stakeholder discussions you've participated in and how you communicated project statuses effectively.
✨Demonstrate Problem-Solving Abilities
Expect questions about technical challenges you've faced in previous roles. Think of a few scenarios where you identified and resolved issues, and be ready to explain your thought process and the steps you took to ensure timely resolutions.
✨Familiarise Yourself with Agile Practices
If you have experience with Agile delivery frameworks, make sure to mention it! Even if you don't, understanding the basics can help you answer questions about project management and team dynamics. It shows you're adaptable and ready to thrive in a fast-paced environment.
