At a Glance
- Tasks: Build and optimise data models and pipelines using Snowflake and PySpark.
- Company: Fractal, a strategic AI partner to Fortune 500 companies, recognised as a Great Place to Work.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to work on innovative data solutions with industry leaders.
- Why this job: Join a dynamic team and empower imagination with intelligence in cutting-edge projects.
- Qualifications: Experience with Snowflake, PySpark, and SQL; collaborative mindset essential.
The predicted salary is between 60750 - 74250 £ per year.
- 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.
- 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 practise.
- 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.
Snowflake Data Engineer in Slough employer: Fractal
Fractal is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior IT Data Analyst to thrive. With a commitment to employee growth, Fractal offers opportunities to work on impactful projects with Fortune 500 clients while enjoying the flexibility of a hybrid work model in London. The company values diversity and empowers its employees to leverage their unique skills, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Engineer in Slough
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We think you need these skills to ace Snowflake Data Engineer in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Fractal
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
