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- Tasks: Join a global team to design and develop data applications using Databricks.
- Company: Work with one of the largest insurance brands worldwide.
- Benefits: Enjoy remote work options and a collaborative environment.
- Why this job: Be at the forefront of cloud migration and data innovation.
- Qualifications: Must have Databricks certifications and 3+ years in data engineering.
- Other info: Opportunity to influence change and drive impactful projects.
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) (England) employer: Ingenio Global
Contact Detail:
Ingenio Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Databricks) (England)
✨Tip Number 1
Familiarise yourself with the latest Databricks features and updates. Being knowledgeable about recent advancements can help you stand out during discussions and demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data engineering community, especially those who work with Databricks. Engaging in conversations on platforms like LinkedIn or attending relevant meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented Databricks solutions. Highlighting your hands-on experience with real-world applications will showcase your practical skills and problem-solving abilities.
✨Tip Number 4
Brush up on your knowledge of Azure services and DevOps practices, as these are crucial for the role. Being able to articulate how you've used these technologies in past projects will demonstrate your readiness for the position.
We think you need these skills to ace Data Engineer (Databricks) (England)
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, explain why you're interested in the Data Engineer position and how your background aligns with the company's needs. Mention your certifications and any relevant experience with cloud migration and DevOps practices.
Showcase Your Technical Skills: When detailing your experience, focus on your hands-on work with Databricks and any successful data pipelines you've developed. Highlight your problem-solving abilities and how you've collaborated with teams to drive change.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Ingenio Global
✨Showcase Your Databricks Expertise
Make sure to highlight your hands-on experience with Databricks during the interview. Be prepared to discuss specific projects where you've designed and developed data applications, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your Cloud Knowledge
Since the role involves migrating applications to Azure, it's crucial to demonstrate your understanding of cloud-based development. Discuss your experience with Azure services, DevOps practices, and any relevant tools like Kubernetes or Docker.
✨Prepare for Technical Questions
Expect technical questions related to data engineering pipelines, SQL, and programming languages like Python and Scala. Brush up on your knowledge and be ready to solve problems on the spot, as this will showcase your critical thinking and problem-solving skills.
✨Emphasise Collaboration Skills
As you'll be working with a global team, it's important to convey your ability to collaborate effectively. Share examples of how you've influenced change through teamwork and communication in previous roles, especially in a remote or cross-cultural context.
