Senior Data Engineer: Scalable Snowflake Pipelines
Senior Data Engineer: Scalable Snowflake Pipelines

Senior Data Engineer: Scalable Snowflake Pipelines

Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and implement scalable data pipelines while mentoring junior engineers.
  • Company: Leading investment firm in Greater London with a focus on innovation.
  • Benefits: Hybrid working, comprehensive benefits package, and career development opportunities.
  • Why this job: Join a dynamic team and make an impact in the world of data engineering.
  • Qualifications: Experience with Snowflake, Databricks, advanced SQL, and strong Python skills.
  • Other info: Collaborative environment with opportunities for strategic integrations.

The predicted salary is between 48000 - 72000 £ per year.

A leading investment firm in Greater London is seeking a Senior Data Engineer to design and implement data pipelines on a robust platform.

Responsibilities include:

  • Mentoring junior engineers
  • Ensuring data quality
  • Collaborating with stakeholders for strategic integrations

Ideal candidates will have experience with Snowflake and Databricks, advanced SQL skills, and strong Python knowledge.

This role offers hybrid working arrangements and a comprehensive benefits package.

Senior Data Engineer: Scalable Snowflake Pipelines employer: Janus Henderson AAA CLO ETF

As a leading investment firm in Greater London, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our employees enjoy hybrid working arrangements, a comprehensive benefits package, and ample opportunities for professional growth, making us an excellent employer for those looking to make a meaningful impact in the data engineering field.
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Contact Detail:

Janus Henderson AAA CLO ETF Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer: Scalable Snowflake Pipelines

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake and Databricks. A friendly chat can lead to insider info about job openings or even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your advanced SQL and Python expertise, making you stand out to potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've ensured data quality in past projects and how you’ve collaborated with stakeholders. We want to see your problem-solving skills in action!

✨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 about their job search.

We think you need these skills to ace Senior Data Engineer: Scalable Snowflake Pipelines

Data Pipeline Design
Snowflake
Databricks
Advanced SQL
Python
Data Quality Assurance
Mentoring
Stakeholder Collaboration

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 Mentoring Skills: Since mentoring junior engineers is part of the gig, share any experiences you have in guiding others. We appreciate candidates who can foster growth and collaboration within the team.

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 join our awesome team!

How to prepare for a job interview at Janus Henderson AAA CLO ETF

✨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’ve designed or implemented data pipelines. This will show that you’re not just familiar with the tools, but that you can leverage them effectively.

✨Show Off Your SQL Skills

Prepare to tackle some SQL challenges during the interview. Practise writing complex queries and optimising them for performance. Being able to demonstrate your advanced SQL knowledge will set you apart from other candidates and prove you can handle the data quality aspects of the role.

✨Mentorship Matters

Since mentoring junior engineers is part of the job, think about your past experiences in guiding others. Be ready to share specific instances where you’ve helped someone grow their skills or overcome challenges. This will highlight your leadership abilities and show that you’re a team player.

✨Collaborate Like a Pro

This role involves working closely with stakeholders, so be prepared to discuss how you’ve collaborated in previous roles. Think of examples where you’ve integrated feedback or worked cross-functionally to achieve a goal. This will demonstrate your communication skills and ability to work within a team.

Senior Data Engineer: Scalable Snowflake Pipelines
Janus Henderson AAA CLO ETF

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