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- Tasks: Design and optimise Azure-based Data Lakehouse while mentoring a talented engineering team.
- Company: Leading data solutions company with a focus on innovation.
- Benefits: Up to £85k salary, private medical options, 25 days holiday, and fully remote work.
- Why this job: Make a real impact on data platforms and lead a dynamic engineering team.
- Qualifications: Deep experience in Databricks and strong coding skills in PySpark and SQL.
- Other info: Enjoy flexible working hours in a supportive and innovative environment.
The predicted salary is between 51000 - 85000 £ per year.
A leading data solutions company is seeking a Lead Data Platform Specialist to design and optimize their Azure-based Data Lakehouse. Ideal candidates will have deep experience in Databricks and strong coding skills in PySpark and SQL.
The position offers fully remote work, flexible working hours, a strong salary up to £85k, and benefits including private medical options and 25 days of holiday.
You will play a key role in advancing the company's data platform while mentoring a talented engineering team.
Remote Data Platform Lead | Databricks & Azure Lakehouse in Bristol employer: Akkodis
Contact Detail:
Akkodis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Platform Lead | Databricks & Azure Lakehouse in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks and Azure Lakehouse. This gives potential employers a taste of what you can do beyond just words on a page.
✨Tip Number 3
Prepare for those interviews! Brush up on your PySpark and SQL skills, and be ready to discuss how you've optimised data platforms in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote Data Platform Lead | Databricks & Azure Lakehouse in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and coding in PySpark and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data platforms and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Achievements: When detailing your past roles, focus on specific achievements rather than just responsibilities. We’re interested in how you’ve optimised data solutions or led projects, so share those success stories that demonstrate your impact!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Akkodis
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Azure Lakehouse knowledge. Be ready to discuss specific projects where you've used PySpark and SQL, and think about how you can demonstrate your coding skills during the interview.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, prepare examples of how you've successfully led projects or guided colleagues in the past. Highlight your ability to inspire and support others in their development.
✨Understand the Company’s Vision
Research the company’s goals and values. Be prepared to discuss how your experience aligns with their mission and how you can contribute to advancing their data platform. This shows you're genuinely interested in the role.
✨Prepare Questions That Matter
Think of insightful questions to ask at the end of the interview. Inquire about the team dynamics, the challenges they face with the current data platform, or how success is measured in this role. This demonstrates your enthusiasm and strategic thinking.
