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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: Collaborative greenfield environment with industry leaders.
- Why this job: Be at the forefront of data engineering and make a significant impact.
- Qualifications: Experience with PySpark, Spark SQL, and data modelling for BI tools.
The predicted salary is between 50000 - 70000 £ 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 in London employer: Talent
Contact Detail:
Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer - Greenfield Lakehouse Build in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, PySpark, and data modelling. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Databricks Data Engineer - Greenfield Lakehouse Build in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share any personal projects or experiences that highlight your skills with Databricks, PySpark, or Spark SQL. We love seeing candidates who are genuinely excited about building innovative data solutions.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant experience in building data platforms and working with BI tools like Tableau and Power BI. We want to see how your background aligns with our greenfield project!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
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. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.