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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 options.
- 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.
- Other info: Mentor junior engineers and thrive in a supportive environment.
The predicted salary is between 48000 - 72000 £ 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 will 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 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
✨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, especially using Snowflake and Databricks. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and DevOps principles before interviews. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨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 with our platform.
We think you need these skills to ace Senior Data Engineer: Architect Scalable Data Pipelines
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 experiences. We value teamwork, so share examples of how you've successfully collaborated in the past.
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 candidates who take that extra step!
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. Be ready to discuss how you've used these technologies in past projects, and think of specific examples where you designed or optimised data pipelines.
✨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 complex queries and be ready to explain your thought process clearly.
✨Understand DevOps Principles
Since the role requires a solid understanding of DevOps, make sure you can talk about how you've integrated DevOps practices into your work. Think about tools you've used and how they improved your data systems' performance and reliability.
✨Engage with Stakeholders
Collaboration is key in this role, so be prepared to discuss how you've worked with stakeholders in the past. Share examples of how you’ve gathered requirements and communicated technical concepts to non-technical team members.
