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- Tasks: Design and build scalable data pipelines while mentoring junior engineers.
- Company: Leading investment management firm in London with a focus on innovation.
- Benefits: Flexible working arrangements, health perks, and professional development opportunities.
- Why this job: Join a dynamic team and make an impact in the investment sector.
- Qualifications: Experience with Snowflake, Databricks, advanced SQL, and strong Python skills.
- Other info: Inclusive environment welcoming candidates from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
A leading investment management firm in London is seeking a Senior Data Engineer to design robust data pipelines and mentor junior engineers. This role requires proven experience with Snowflake and Databricks, advanced SQL skills, and strong Python knowledge.
The position offers a hybrid working model and a range of benefits including flexible working arrangements, health and wellbeing perks, and professional development opportunities. Candidates from all backgrounds are encouraged to apply.
Senior Data Engineer - Build Scalable Data Pipelines employer: Janus Henderson Global Investors
Contact Detail:
Janus Henderson Global Investors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Build Scalable Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at investment firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data pipeline projects. This is a great way to demonstrate your expertise with Snowflake, Databricks, and Python to potential employers.
✨Tip Number 3
Ace the interview! Research common interview questions for Senior Data Engineers and practice your answers. Be ready to discuss your experience with SQL and how you've mentored others in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer - Build Scalable Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, Databricks, and advanced SQL skills. We want to see how your background aligns with the role of a Senior Data Engineer, so don’t hold back on 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 building scalable data pipelines and how you can contribute to our team. We love seeing candidates who are excited about mentoring junior engineers too!
Showcase Your Python Skills: Since strong Python knowledge is key for this role, make sure to include specific examples of how you've used Python in your previous work. We’re looking for practical applications that demonstrate your expertise!
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Janus Henderson Global Investors
✨Know Your Tech Inside Out
Make sure you brush up on your Snowflake and Databricks skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your SQL Skills
Prepare to demonstrate your advanced SQL knowledge. You might be asked to solve a problem on the spot, so practice writing queries that involve complex joins, aggregations, and subqueries. This will show that you can handle real-world data scenarios.
✨Mentorship Mindset
Since this role involves mentoring junior engineers, think about your past experiences in guiding others. Be ready to share specific examples of how you've helped team members grow and what strategies you use to foster a collaborative environment.
✨Embrace the Hybrid Model
Familiarise yourself with the hybrid working model and be prepared to discuss how you manage your time and productivity in such an environment. Highlight any previous experience you have with remote work and how you maintain communication with your team.
