Data Engineer β€” Snowflake Pipelines & BI (Hybrid London)

Data Engineer β€” Snowflake Pipelines & BI (Hybrid London)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and maintain data pipelines for reporting and analytics using Snowflake and Python.
  • Company: Join Penguin Random House, a leading name in publishing with a vibrant team culture.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and enhance your skills in a dynamic environment.
  • Why this job: Make an impact by enabling trusted data for creative storytelling and decision-making.
  • Qualifications: Experience with data engineering tools like SQL, dbt, and Power BI is essential.

The predicted salary is between 60000 - 80000 Β£ per year.

Penguin Random House is seeking an experienced Data Engineer to join our London team on a permanent, hybrid basis.

You will design, build and maintain robust data pipelines and models to enable trusted data for reporting and analytics across DK and PRH.

You will work with Snowflake, Python, SQL, dbt, Fivetran, Power BI, Microsoft Fabric, and Git Hub, supporting governance and data quality.

Collaboration with multiple stakeholders will be essential, along with documenting data definitions and

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Data Engineer β€” Snowflake Pipelines & BI (Hybrid London) employer: Apply now!

At Penguin Ventures, we pride ourselves on fostering a dynamic and inclusive work culture that encourages creativity and collaboration. As a Senior Trade & Licensing Communications Lead, you will benefit from our commitment to employee growth through continuous learning opportunities and mentorship, all while working in a vibrant location that inspires innovation and connection within the licensing industry.

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Contact Details:

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We think you need these skills to ace Data Engineer β€” Snowflake Pipelines & BI (Hybrid London)

Python
SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Data Engineering
Automation