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- Tasks: Design and deliver scalable data pipelines while collaborating with stakeholders.
- Company: Leading asset management firm in Greater London with a focus on innovation.
- Benefits: Generous health benefits, paid volunteer time, and hybrid working environment.
- Other info: Opportunity to mentor junior engineers and grow your career.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Strong experience in Snowflake, Databricks, and advanced SQL skills required.
The predicted salary is between 70000 - 90000 £ per year.
A leading asset management firm in Greater London is seeking a Senior Data Engineer to design and deliver data pipelines on their platform. You'll collaborate with stakeholders, mentor junior engineers, and ensure the performance and reliability of data systems.
Candidates should have strong experience in Snowflake and Databricks, advanced SQL skills, and a solid understanding of DevOps principles.
The company offers generous health benefits, paid volunteer time, and a hybrid working environment.
Senior Data Engineer: Architect Scalable Data Pipelines in London employer: Janus Henderson Investors
Contact Detail:
Janus Henderson Investors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Architect Scalable Data Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at asset management 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 your chance to demonstrate your expertise in Snowflake, Databricks, and SQL – make it shine!
✨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 DevOps principles and how you've mentored others in the past.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your relevant experience and let us know why you’re the perfect fit for the role.
We think you need these skills to ace Senior Data Engineer: Architect Scalable Data Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, Databricks, and SQL. 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 passionate about data engineering and how you can contribute to our team. We love seeing personality, so let your enthusiasm come through!
Showcase Your Collaboration Skills: Since this role involves working with stakeholders and mentoring junior engineers, make sure to mention any relevant teamwork experiences. We value collaboration, so share examples of how you've successfully worked in a team setting.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your skills to us!
How to prepare for a job interview at Janus Henderson Investors
✨Know Your Tech Inside Out
Make sure you brush up on your Snowflake and Databricks skills before the interview. 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 SQL Mastery
Prepare to demonstrate your advanced SQL skills. You might be asked to solve a problem on the spot, so practice writing queries that optimise performance and handle large datasets efficiently.
✨Understand DevOps Principles
Since the role requires a solid understanding of DevOps, be prepared to discuss how you've integrated DevOps practices into your data engineering work. Think about examples where you've improved deployment processes or enhanced system reliability.
✨Engage with Stakeholders
Collaboration is key in this role, so think of examples where you've worked closely with stakeholders. Be ready to explain how you gather requirements and ensure that the data solutions you design meet their needs.