Data Engineer - GCP services & DBT

Fractal; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A strategic AI partner in London is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines. The ideal candidate will focus on transforming raw data into high-quality datasets for analytics and machine learning. The role requires collaboration and a passion for data quality and automation, with onsite work 2-3 days per week.

Qualifications

• Skilled Data Engineer with experience in designing and maintaining data pipelines.
• Detail-oriented with a focus on data quality and automation.
• Ability to work in a collaborative environment.

Responsibilities

• Design and build scalable data pipelines.
• Transform raw data into high-quality datasets for analytics.
• Collaborate on machine learning initiatives.

Skills

Data quality

Automation

Complex data problem solving

Tools

GCP

DBT

Job description

Overview

It\'s fun to work in a company where people truly BELIEVE in what they are doing!

We\'re committed to bringing passion and customer focus to the business.

Data Engineer- GCP services & DBT

West London

Onsite 2 – 3 days per week

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work\u00ae Institute and recognized as a 18Cool Vendor) and a 18Vendor to Watch) by Gartner.

Fractal\u2019s information: Fractal | Intelligence for Imagination

We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will be responsible for transforming raw data into reliable, high-quality datasets that fuel analytics, reporting, and machine learning initiatives. The ideal candidate is passionate about data quality, automation, and solving complex data challenges in a collaborative environment.