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- Tasks: Lead the migration of legacy applications to a modern data lake using Python and Databricks.
- Company: Major financial services firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by modernising data management in a dynamic environment.
- Qualifications: Strong data analysis skills, proficiency in Python, and experience with data lakes.
- Other info: Collaborate with engineering teams and drive significant changes in data management.
The predicted salary is between 42000 - 84000 £ per year.
A major financial services firm in Greater London is seeking a Data Engineer to lead the migration of legacy applications to a new data lake. The role involves analyzing existing data, designing data models, and automating deployments.
Candidates should have strong data analysis skills, be proficient in Python, and have solid data lake experience, especially with Databricks. Excellent communication skills are essential for collaboration with engineering teams. This is a great opportunity to drive significant changes in data management.
Data Engineer: Modernize Data Lake with Python & Databricks employer: Kite Consulting Group
Contact Detail:
Kite Consulting Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Modernize Data Lake with Python & Databricks
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info on what they’re looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Python and Databricks. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and communication skills. Practice explaining complex data concepts in simple terms, as collaboration with engineering teams is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Engineer: Modernize Data Lake with Python & Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data lakes, Python, and Databricks. 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 excited about this opportunity and how your background makes you a perfect fit for leading the migration of legacy applications.
Show Off Your Communication Skills: Since collaboration is key in this role, make sure to demonstrate your excellent communication skills in your application. Whether it’s through your writing style or examples of teamwork, we want to see how you connect with 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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Kite Consulting Group
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data lakes and Python. Be ready to discuss specific projects where you’ve modernised data systems or automated deployments. This will show your expertise and how you can contribute to their migration efforts.
✨Brush Up on Databricks
Make sure you’re familiar with Databricks and its functionalities. Prepare to explain how you've used it in previous roles, particularly in designing data models. Being able to articulate your experience with this tool will set you apart from other candidates.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex data concepts in simple terms. Think about how you would collaborate with engineering teams and be prepared to share examples of successful teamwork in your past roles.
✨Show Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about challenges you’ve faced in data analysis or migration projects and how you overcame them. This will demonstrate your critical thinking and adaptability, which are key for driving changes in data management.
