Snowflake Data Engineer

Fractal Analytics; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

Fractal Analytics is seeking a Snowflake Data Engineer for a 3-month fixed-term contract in London with hybrid work (onsite 2 days per week). The role focuses on building data models and pipelines in Snowflake, migrating programme use cases, and collaborating with Data Scientists to validate model performance.

Experience with Snowflake ML, PySpark, and DBT is essential. The candidate will manage the migration from Pre-Prod to Prod, support PoC phases, and document findings during the transition,

Qualifications

• Must have Snowflake & Snowflake ML experience.
• DBT experience would be advantageous.
• Migrate programme use cases in Snowflake Pre-Prod to Prod.
• Support PoC migration phase with Data Scientists.
• Transform PySpark for the use cases during migration.
• Collaborate with Data Scientists to ensure models function.
• Document performance, findings, and observations.
• Support cutover and warranty period issue tracking.

Responsibilities

• Build data models and pipelines in Snowflake.
• Leverage Snowflake frameworks to construct scalable models.
• Collaborate with Data Scientists to ensure models function.
• Standardise data pipeline builds and resolve issues.
• Assist with PySpark pipeline improvements and best practices.
• Provide warranty period support and issue tracking.

Skills

Snowflake ML

Snowflake

DBT

PySpark

SQL

Data pipelines

Data Scientist collaboration

Tools

Snowflake

DBT

PySpark

Job description

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. Snowflake Data Engineer 3 month Fixed Term Contract London - Hybrid (Onsite 2 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® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Role / Responsibilities

• Must have Snowflake & Snowflake ML experience – this is mandatory for this Fractal Engineer role.
• Fractal Data Engineer roles required with the necessary Snowflake experience.
• Data Build Tool (DBT) experience would be advantageous.
• To manage the build of nominated Programme Use Cases within Client Snowflake (Pre-Prod) during September 2026 through to December 2026 inclusive.
• Note: Exclusively for Programme Use Cases, the Fractal Engineers aligned to this area will be required to support the Data Scientists to run a Proof of Concept (PoC) Migration Phase.
• Support in transforming Programme PySpark for the respective use cases, as part of migration preparation.
• Work collaboratively with nominated Data Scientists (Programme) to validate the functionality / performance of the models.
• Document the performance, findings & observations, once the models have been built within Snowflake.
• Support the cutover of Snowflake built models from Pre-Prod to Prod, in collaboration with Data Scientists.
• Provide support during the Warranty Period for issue tracking / resolution.

Role / Skills of the Snowflake Data Engineer for Programme Migrations

• Ideally competent to build data models / data pipelines with Snowflake ML, with input from the respective Data Scientists.
• Be able to leverage Snowflake frameworks & workflows to construct scalable models.
• Work collaboratively with the Data Scientists to ensure the newly built models in Snowflake function & perform correctly (when compared to the existing Programme use cases).
• It is important the resources work collaboratively with the nominated Data Scientists to help with model / data pipeline build standardisation, issue resolution, etc.
• PySpark experience.
• The pipeline is written in PySpark, it is vital that the engineers can quickly get up to speed on the pipeline, advise on efficiency improvements & best practice.
• SQL expertise.
• Snowflake experience alongside PySpark, so that they can advise if a better Snowflake-native solution exists - we are not tied to PySpark and are happy if there is a better solution for the pipeline.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

At Fractal, towards our goal of "powering every human decision in the enterprise", our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal's expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.