Senior Analytics Engineer: Build Scalable Data Models

Senior Analytics Engineer: Build Scalable Data Models

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Shape data infrastructure and build robust data models for impactful analytics.
  • Company: Paddle, a leader in innovative data solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
  • Other info: Join a dynamic team focused on self-service analytics and continuous improvement.
  • Why this job: Make a real impact by delivering high-value data solutions and mentoring future talent.
  • Qualifications: Experience in analytics engineering and proficiency with Snowflake and dbt.

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

Paddle is seeking a Senior Analytics Engineer to shape data infrastructure, build robust data models, and promote analytics best practices.

You will partner with stakeholders to deliver high-value data solutions and mentor junior engineers.

You will create scalable Snowflake models with dbt, expose datasets in BI tools, and lead data quality and documentation efforts while enabling self-service analytics across teams.

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Senior Analytics Engineer: Build Scalable Data Models employer: Paddle

Paddle is an exceptional employer that champions an inclusive and dynamic work culture, making it an ideal place for ambitious professionals. With competitive salaries, stock options, and generous benefits such as unlimited holidays, employees are encouraged to pursue ongoing learning and development opportunities. Located in the UK, Paddle not only prioritises employee well-being but also fosters a collaborative environment where innovation thrives.

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Contact Details:

Paddle Recruitment Team

We think you need these skills to ace Senior Analytics Engineer: Build Scalable Data Models

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