Data Platform Engineer (Snowflake)

Data Platform Engineer (Snowflake)

Temporary 63000 - 77000 £ / year (est.) Home office (partial)
Hunter Bond

At a Glance

  • Tasks: Develop and maintain scalable data solutions using Snowflake and automate ETL/ELT pipelines.
  • Company: Join a top-tier global financial services firm with a forward-thinking data engineering team.
  • Benefits: Competitive rate of up to £900/day and hybrid working options.
  • Other info: Dynamic role with opportunities for collaboration and professional growth.
  • Why this job: Make an impact by building high-performance data platforms that power analytics and automation.
  • Qualifications: Strong experience with Snowflake, Terraform, AWS, and programming skills in Python or Java.

The predicted salary is between 63000 - 77000 £ per year.

We're hiring a Snowflake Data Platform Engineer for a 6-month contract with a top-tier global financial services firm. You'll join a forward-thinking data engineering team focused on building scalable, high-performance data platforms that power analytics and automation. This is a hands-on role with a focus on Snowflake development, cloud infrastructure, and orchestration.

What You’ll Be Doing

  • Develop and maintain scalable data solutions using Snowflake
  • Design and automate ETL/ELT pipelines with Airflow or Dagster
  • Implement and manage infrastructure as code using Terraform
  • Drive performance tuning, cost optimisation, and platform scalability
  • Collaborate closely with data scientists, engineers, and stakeholders to deliver robust solutions

What You’ll Need

  • Strong hands-on experience with Snowflake (development + admin)
  • Proficiency in Terraform, AWS (S3, IAM), and OAuth integrations
  • Programming skills in Python or Java
  • Solid understanding of modern data architecture and orchestration tools
  • Bonus: Experience with Denodo or Kafka

Data Platform Engineer (Snowflake) employer: Hunter Bond

Hunter Bond is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth and development, team members benefit from competitive compensation, comprehensive benefits, and the opportunity to work alongside a talented, low-ego team dedicated to pushing the boundaries of technology in trading systems.

Hunter Bond

Contact Details:

Hunter Bond Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Platform Engineer (Snowflake)

Tap into Online Data Science Communities

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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

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We think you need these skills to ace Data Platform Engineer (Snowflake)

Python
SQL
Data Pipeline Development
Problem-Solving Skills
Data Engineering
Communication Skills
API Integration

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Hunter Bond, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Hunter Bond, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Hunter Bond’s attention and show the tangible impact of your work.

How to prepare for a job interview at Hunter Bond

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Hunter Bond.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Hunter Bond.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Hunter Bond.