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- Tasks: Join a global team to design and develop data applications on Databricks.
- Company: Ingenio partners with a leading global insurance brand for innovative tech solutions.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Why this job: Be at the forefront of cloud migration and make a real impact in a dynamic environment.
- Qualifications: Must have Databricks certifications, strong SQL/Scala skills, and 3+ years in Big Data.
- Other info: Ideal for tech-savvy individuals eager to drive change and collaborate globally.
The predicted salary is between 43200 - 72000 £ per year.
Ingenio is working with one of the largest Insurance brands globally to hire the first in-house Databricks resource. They are looking for a candidate with strong development experience in Databricks. You will help to migrate existing on-prem applications to cloud (Azure preferred), create and maintain new data applications, while working with a global team based across Europe & the US.
As a Databricks Engineer you will:
- Design & Develop custom high throughput and configurable frameworks
- Drive change through collaboration, influence and demonstration of POCs
- Be responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation
You’ll have:
- Appropriate & current Databricks certifications & accreditations
- Experience performing data analysis and data exploration
- Exposure/understanding of DevOps best practice
- Strong knowledge on Databricks SQL/Scala - Data engineering pipeline
- Strong experience in Unix, Python and complex SQL
- Strong critical thinking, communication, and problem-solving skills
- Strong hands-on experience in troubleshooting DevOps pipelines and Azure services
- Bachelor’s Degree level qualification in a computer science or IT related subject
- 3+ years of overall Bigdata data pipeline experience
- 2+ years of Databricks hands-on experience
- 3+ years of experience on cloud-based development including Azure Services, Azure DevOps, Kubernetes, Docker
- Experience on Snowflake is a plus
If this sounds like you, click apply today.
Data Engineer (Databricks) employer: Ingenio Global
Contact Detail:
Ingenio Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Databricks)
✨Tip Number 1
Familiarise yourself with the latest Databricks features and updates. Being well-versed in the platform will not only boost your confidence during discussions but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals already working in data engineering roles, especially those using Databricks. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data pipelines or migrated applications to the cloud. Real-world examples will showcase your hands-on experience and problem-solving skills effectively.
✨Tip Number 4
Brush up on your collaboration and communication skills. Since you'll be working with a global team, being able to articulate your ideas clearly and work well with others is crucial for success in this role.
We think you need these skills to ace Data Engineer (Databricks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and any relevant programming languages like Python and SQL. Use specific examples of projects you've worked on that demonstrate your skills in data engineering.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant certifications and how your experience aligns with the job requirements, particularly your hands-on experience with Databricks and cloud-based development.
Showcase Your Projects: If you have worked on notable projects involving data migration or building data applications, summarise these in your application. Highlight your role, the technologies used, and the impact of your work.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, especially around Databricks, Azure services, and DevOps practices. Consider preparing examples of challenges you've faced and how you solved them, as this will demonstrate your problem-solving abilities.
How to prepare for a job interview at Ingenio Global
✨Showcase Your Databricks Expertise
Make sure to highlight your experience with Databricks during the interview. Be prepared to discuss specific projects where you've used Databricks, including any challenges you faced and how you overcame them.
✨Demonstrate Your Cloud Knowledge
Since the role involves migrating applications to Azure, brush up on your knowledge of Azure services. Be ready to explain how you've used Azure in past projects and how it integrates with Databricks.
✨Prepare for Technical Questions
Expect technical questions related to data engineering, SQL, and Python. Practise coding problems and be ready to demonstrate your problem-solving skills, especially in relation to DevOps pipelines.
✨Emphasise Collaboration Skills
As you'll be working with a global team, it's important to showcase your collaboration and communication skills. Share examples of how you've successfully worked with others to drive change or complete projects.
