At a Glance
- Tasks: Lead a data platform and manage hands-on data engineering projects.
- Company: Deerfoot Recruitment Solutions, a dynamic recruitment firm in the UK.
- Benefits: Competitive salary of £70k, 15% bonus, and additional perks.
- Other info: Join a high-performing team with opportunities for growth.
- Why this job: Own a data platform and drive impactful data initiatives remotely.
- Qualifications: Strong skills in data engineering, PySpark, and Microsoft Fabric required.
The predicted salary is between 70000 - 70000 £ per year.
Deerfoot Recruitment Solutions Limited seeks a Data Platform Manager based in the UK. This role offers the chance to own a data platform while combining hands-on data engineering with strategic product management. You will lead a high-performing team and drive initiatives such as datalake migrations.
Candidates should possess strong skills in data engineering, PySpark, and Microsoft Fabric.
A salary of circa 70k per annum plus benefits is offered, alongside a 15% bonus.
Data Platform Lead | PySpark & Azure Synapse | Remote employer: Deerfoot Recruitment Solutions Limited
Contact Detail:
Deerfoot Recruitment Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Lead | PySpark & Azure Synapse | Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving PySpark and Azure Synapse. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data platform scenarios. We recommend practising how you’d handle datalake migrations and team leadership questions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Platform Lead | PySpark & Azure Synapse | Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, PySpark, and Azure Synapse. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading a data platform and how your strategic vision can drive our initiatives forward. Keep it engaging and personal.
Showcase Your Leadership Skills: As a Data Platform Lead, we’re looking for someone who can inspire a team. Highlight any previous leadership roles or experiences where you’ve successfully managed projects or teams. We love seeing how you can motivate others!
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 this exciting opportunity. Don’t miss out on joining our team!
How to prepare for a job interview at Deerfoot Recruitment Solutions Limited
✨Know Your Tech Inside Out
Make sure you brush up on your PySpark and Azure Synapse skills. 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 a high-performing team, prepare examples of how you've successfully managed teams in the past. Highlight your approach to motivating team members and driving initiatives like datalake migrations.
✨Understand the Business Side
This position combines data engineering with strategic product management. Familiarise yourself with how data platforms can drive business value and be prepared to discuss how you would align technical decisions with business goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future initiatives. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.