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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 grow your career in data engineering.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and cloud environments. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you'd improve platform reliability or define operational models—be ready to share your ideas!
✨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 take that extra step.
We think you need these skills to ace Data Engineering Lead — Build Scalable Data Platforms
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 enhance our data engineering capabilities!
Define Your Impact: In your application, explain how you've delivered impactful data products in the past. We love seeing examples of how you've improved platform reliability or defined operational models.
Team Spirit Matters: Since you'll be leading a team, share your experience in fostering a culture of excellence. We’re all about collaboration, so let us know how you’ve motivated and guided your team!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
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 foster collaboration and excellence within your team, and any strategies you’ve implemented to improve performance.
✨Understand the Company’s Data Needs
Research 9fin and their data engineering capabilities. Understand their operational models and think about how you can enhance their platform reliability. This will show that you're genuinely interested in the role and have thought about how you can contribute.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data challenges, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.