Snowflake Data Engineer

Fractal Analytics Inc.; Greater London; Hybrid; GBP 83,000 - 120,000; Full time

Job summary

Fractal Analytics Inc. in London is seeking a Snowflake Data Engineer for a 3-month fixed-term contract with hybrid work (onsite 2 days per week). The role requires strong Snowflake experience, including Snowflake ML, plus PySpark and SQL skills.

DBT experience is advantageous as you build and migrate data pipelines for programme use cases from Pre-Prod to Prod. You will collaborate with Data Scientists and Engineers to validate models, document findings, and support the warranty period after

Qualifications

• Must have Snowflake & Snowflake ML experience – this is mandatory for this Fractal Engineer role.
• 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.
• Support the migration of PySpark transformations as part of migration preparation.
• Work with Data Scientists to validate models and document performance.

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.

Skills

Snowflake

PySpark

SQL

Data Pipelines

Collaboration

Tools

DBT

Snowflake ML

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.