At a Glance
- Tasks: Build and manage data models and pipelines using Snowflake and PySpark.
- Company: Fractal, a strategic AI partner for Fortune 500 companies.
- Benefits: Hybrid work model, competitive salary, and a vibrant company culture.
- Other info: Dynamic environment with opportunities for growth and collaboration.
- Why this job: Join a passionate team and make impactful decisions with cutting-edge technology.
- Qualifications: Experience with Snowflake, PySpark, and SQL is essential.
The predicted salary is between 60750 - 74250 £ per year.
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 (Po C) Migration Phase.
- Support in transforming Programme Py Spark 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.
- Py Spark experience.
- The pipeline is written in Py Spark, 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 Py Spark, so that they can advise if a better Snowflake-native solution exists - we are not tied to Py Spark 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.
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Snowflake Data Engineer in London employer: Fractal Analytics Inc.
Fractal is an excellent employer that fosters a culture of innovation and collaboration, making it an ideal place for a Strategic Portfolio Test Manager to thrive. With a strong emphasis on employee growth, we offer comprehensive training and development opportunities, ensuring our team members are equipped to excel in their roles. Located in a dynamic environment, we provide unique advantages such as flexible working arrangements and a commitment to work-life balance, making your career with us both meaningful and rewarding.
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We think this is how you could land Snowflake Data Engineer in London
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We think you need these skills to ace Snowflake Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Fractal Analytics Inc., make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Fractal Analytics Inc., emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Fractal Analytics Inc.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Fractal Analytics Inc..
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Fractal Analytics Inc..
