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- Tasks: Lead the design of scalable data architectures and guide engineering teams.
- Company: Innovative tech organisation focused on data solutions.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data platforms and make a significant impact.
- Qualifications: Expertise in PySpark, Databricks, SQL, and Azure data warehouses.
- Other info: Work flexibly across the UK in a dynamic environment.
The predicted salary is between 60000 - 84000 £ per year.
A technology organisation is seeking a Principal Data Engineer to define and lead the technical direction of their data platform. The role involves designing scalable data architectures and leading multiple engineering teams to ensure high data quality.
Ideal candidates will have deep expertise in PySpark and Databricks, with strong SQL skills and experience in Azure data warehouses. This position offers a unique opportunity to influence technical direction while working flexibly across the UK.
Principal Data Platform Lead | Databricks & Azure/AWS in England employer: Corecom Consulting
Contact Detail:
Corecom Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Platform Lead | Databricks & Azure/AWS in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks or Azure. 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 projects with PySpark and SQL. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions. We recommend practising your answers to technical scenarios, as this will help you feel confident when discussing your experience with scalable data solutions.
✨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 about their job search!
We think you need these skills to ace Principal Data Platform Lead | Databricks & Azure/AWS in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark, Databricks, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or 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 you can lead our teams to success. Keep it engaging and personal – we love to see your personality!
Showcase Your Leadership Skills: Since this role involves leading multiple engineering teams, make sure to highlight any leadership experiences you have. We’re looking for someone who can inspire and guide others, so share examples of how you’ve done this in the past.
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 – just follow the prompts!
How to prepare for a job interview at Corecom Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your PySpark and Databricks knowledge. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves leading multiple engineering teams, be prepared to share examples of how you've successfully managed teams in the past. Highlight your approach to ensuring high data quality and how you motivate your team to achieve technical excellence.
✨Understand the Business Impact
It's not just about the tech; understand how your work as a Principal Data Engineer can influence the business. Be ready to discuss how scalable data architectures can drive decision-making and improve overall performance.
✨Prepare for Scenario-Based Questions
Expect questions that put you in real-world situations. Think about how you would handle specific challenges related to data architecture or team dynamics. Practising these scenarios will help you articulate your thought process clearly during the interview.
