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- Tasks: Lead a team to build scalable data platforms and enhance data engineering capabilities.
- Company: Join 9fin, a forward-thinking company focused on data innovation.
- Benefits: Enjoy competitive salary, equity options, and a flexible hybrid working model.
- Other info: Foster a culture of excellence and drive innovation within your team.
- Why this job: Make a real impact by delivering impactful data products in a dynamic environment.
- Qualifications: Strong skills in Python, SQL, and experience with AWS or GCP required.
The predicted salary is between 70000 - 90000 £ per year.
9fin is seeking a Data Engineering Lead to enhance its data engineering capabilities. This role involves defining operational models, improving platform reliability, and leading a team of data engineers. The ideal candidate possesses strong technical skills in Python, SQL, and cloud environments like AWS and GCP. You will be responsible for delivering impactful data products and fostering a culture of excellence within the team. Competitive salary, equity options, and a hybrid working model are offered.
Data Engineering Lead — Build Scalable Data Platforms in London employer: 9fin
Contact Detail:
9fin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead — Build Scalable Data Platforms in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a role. You never know who might have the inside scoop on opportunities at companies like 9fin.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud platforms like AWS and GCP. 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 engineering scenarios. Think about how you would define operational models or improve platform reliability. We want you to be ready to impress with your knowledge and experience!
✨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 and engaged in their job search.
We think you need these skills to ace Data Engineering Lead — Build Scalable Data Platforms in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in Python, SQL, and cloud environments like AWS and GCP. We want to see how you can bring your expertise to enhance our data engineering capabilities!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with the role of Data Engineering Lead. We love seeing candidates who take this extra step.
Be Clear and Concise: When writing your application, keep it clear and concise. We appreciate straightforward communication that gets to the point. Show us what you can do without fluff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at 9fin
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and cloud platforms like AWS and GCP. 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 team, be prepared to share examples of how you've successfully managed teams in the past. Talk about how you fostered a culture of excellence and collaboration among your colleagues.
✨Understand the Company’s Data Needs
Research 9fin and their data engineering capabilities. Familiarise yourself with their products and think about how you can enhance their data platforms. This shows that you're genuinely interested in the role and have a proactive mindset.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their operational models and future data initiatives. This not only demonstrates your interest but also helps you gauge if the company aligns with your career goals.