Data Engineer (DBT & Snowflake) – Build High-Impact Pipelines

Data Engineer (DBT & Snowflake) – Build High-Impact Pipelines

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build scalable data pipelines using DBT and Snowflake for impactful analytics.
  • Company: Join a forward-thinking team in Central London with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and enjoy a vibrant office culture.
  • Why this job: Make a real difference by enabling data-driven decisions in a dynamic environment.
  • Qualifications: Experience with DBT, Snowflake, and a passion for data engineering.

The predicted salary is between 50000 - 70000 Β£ per year.

Investigo is seeking a Data Engineer to join our client’s team in Central London.

The role focuses on DBT and Snowflake, building scalable data pipelines and enabling analytics through robust ETL processes.

Based near London Bridge, the position starts in-office during probation with a hybrid pattern (3 days in the office, 2 days from home) as the data strategy evolves.

You will collaborate with cross-functional teams to deliver modern data solutions.

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Contact Details:

Investigo Recruitment Team

We think you need these skills to ace Data Engineer (DBT & Snowflake) – Build High-Impact Pipelines

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