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Data Science Engineer – Manchester

Data Science Engineer | Manchester | £500 – £600 per day 

Are you a skilled Data Engineer/Developer looking for a pure cloud-native environment? Have you worked on Monte Carlo projects before? Want to get your hands on the latest Azure stack to include Synapse Analytics, Databricks, Azure Data Lake & Data Factory?

You will be working with an extremely well-funded FinTech organisation that are building a data environment for the now & future. Decisioning within the business is driven by data and the Data Engineering function plays a crucial role in bringing that information to the business at speed!

The main goal is to migrate their Monte Carlo set up from On-Premise over to Cloud

The role:

  • You will be responsible for delivering high-quality data pipeline solutions in Synapse Analytics or Azure Data Factory
  • Utilising Databricks for extractions
  • Developing solutions in line with the needs of the Decision Science & Analytics function
  • Strong Python – there are no SSIS or SSRS requirements, everything is built on the cloud
  • Although a lead role, you will have no direct management, this is a hands-on role with mentoring, but you will have the future option to pick management or hands-on role

Desirable skills:

  • Strong proficiency in Python/PySpark with proven Data Engineering/Data Science experience.
  • Cloud technologies (AWS, Azure, GCP, Snowflake)
  • Manage the application of the Decision Science techniques: creating and maintaining models
  • To have already worked on Monte Carlo projects
  • A ‘go-getter’ personality, working in a scaling business is not for everyone
  • Growth mindset, good communications skills

Please note, the client is flexible on seeing candidates from an AWS or GCP background.

They will offer:

  • £500 – £600 day rate outside IR35
  • Flexible working with 2-3 days in the Manchester office

We’re shortlisting people for this Data Science Engineer position now, so to be considered hit apply and we’ll be in touch to discuss your CV & experience in more detail.

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