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- Tasks: Design and implement data engineering solutions using Azure Databricks for high-performance data pipelines.
- Company: Join a leading tech firm in London with a hybrid working model.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture with potential for project 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 in Data Engineering with expertise in Azure Databricks and data pipeline design.
The predicted salary is between 60000 - 80000 £ per year.
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) employer: Ports North
Contact Detail:
Ports North Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Software Engineer (Azure Databricks)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure Databricks. 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 engineering projects, particularly those involving Azure Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled performance optimisation and designed scalable data pipelines. We want to see your problem-solving skills in action!
✨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.
We think you need these skills to ace Data Software Engineer (Azure Databricks)
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 and achievements!
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 your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: When filling out your application, be specific about your technical expertise, especially in Azure services and data pipelines. We love seeing concrete examples of how you've tackled challenges in past roles.
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!
How to prepare for a job interview at Ports North
✨Know Your Azure Databricks Inside Out
Make sure you brush up on your Azure Databricks knowledge before the interview. Be ready to discuss your experience with designing and implementing data pipelines, as well as any challenges you've faced and how you overcame them. This will show that you're not just familiar with the tool, but that you can leverage it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've identified and resolved technical issues in past projects. Highlight your performance optimisation strategies for large-scale data environments, as this is crucial for the role. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to discuss your collaboration experiences. Talk about how you've gathered requirements from stakeholders and delivered high-quality solutions. Emphasise your communication skills and how you keep everyone updated on project status.
✨Familiarise Yourself with Agile Practices
If you have experience with Agile delivery frameworks, make sure to mention it! Even if it's not a strict requirement, showing that you understand Agile practices can set you apart. Think of examples where you've worked in an Agile environment and how it benefited your projects.