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- Tasks: Lead a Databricks implementation and build a data platform from scratch.
- Company: Join a renowned manufacturing brand with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with industry leaders and enjoy a dynamic work culture.
- Why this job: Make a real impact by creating cutting-edge data solutions in a greenfield environment.
- Qualifications: Experience with PySpark, Spark SQL, and data modelling for BI tools.
The predicted salary is between 60000 - 80000 £ per year.
Talent is seeking a Data Engineer in the United Kingdom to lead a Databricks implementation for a renowned manufacturing brand. This role offers a unique opportunity to build a data platform from the ground up, working closely with industry leaders.
You will ingest data from various enterprise systems, build pipelines using PySpark and Spark SQL, and model datasets for BI tools like Tableau and Power BI. The environment is greenfield, promoting innovation and collaboration with top-tier partners.
Databricks Data Engineer - Greenfield Lakehouse Build employer: Talent
Contact Detail:
Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer - Greenfield Lakehouse Build
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, PySpark, and data modelling. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Databricks Data Engineer - Greenfield Lakehouse Build
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Databricks, PySpark, and data pipeline creation. We want to see how your skills align with the greenfield project we're working on!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about building a data platform from scratch. Share any innovative ideas you have that could benefit our manufacturing brand partner.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Spark SQL and BI tools like Tableau and Power BI. We’re keen to know how you’ve used these tools in past projects to drive results.
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 don’t miss out on any important updates!
How to prepare for a job interview at Talent
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand its architecture, features, and how it integrates with PySpark and Spark SQL. Being able to discuss specific use cases or projects where you've implemented these technologies will show your expertise.
✨Showcase Your Pipeline Building Skills
Prepare to talk about your experience in building data pipelines. Have examples ready that demonstrate your ability to ingest data from various systems and transform it for BI tools like Tableau and Power BI. Highlight any challenges you faced and how you overcame them.
✨Emphasise Collaboration and Innovation
Since this role involves working closely with industry leaders, be ready to discuss how you’ve collaborated in past projects. Share examples of how you’ve contributed to innovative solutions in a team setting, as this will resonate well with the greenfield aspect of the role.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and the specific challenges they face in their current data environment. This not only shows your interest in the role but also demonstrates your proactive approach to understanding their needs.