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Live Vacancies

Data Engineer - FinTech - Remote

  • Location

    London, England

  • Sector:

    Business Intelligence & Big Data

  • Job type:

    Permanent

  • Salary:

    £45000.00 - £60000.00 per annum

  • Contact:

    Oliver Mutch

  • Contact email:

    Oliver@pioneer-search.com

  • Job ref:

    BBBH2924_1597152410

  • Published:

    2 months ago

  • Expiry date:

    2020-08-18

  • Consultant:

    #

Data Engineer - Remote

AWS, S3, Lambda, SQL, Python, NoSQL, ETL, AI, Machine Learning, DynamboDB

I'm currently working with a FinTech start up on an amazing opportunity to join them in their early stages as a Data Engineer. They have a built an innovative AI product allowing to track your spend on the go that has already surpassed 60,000 users in under 6 months of going live!

You will be joining a small team that cover all aspects of their cloud native, data function. Whilst playing an integral part in delivering new solutions for data pipelines and design features, you will be working on modern server-less architecture that revolves around embedded analytics and AI/ML capabilities.

As a young business you will have a great opportunity to expand your skillset beyond its current remit. They are ideally looking for someone that eventually would want to look at incorporating Data Analysis/Science into their remit and own this function.

Key Skills:

  • AWS services (RDS, S3, Lamdba, Kinesis, AWS Batch)
  • SQL and relational databases
  • ETL and data ingestion pipeline ability
  • Python
  • NoSQL

Desirable:

  • Strong Agile experience
  • Architecture knowledge
  • Any data analysis or data science experience around AI/ML tech would be great
  • Flexible attitude to working

The company are looking to scale up in the next few months and want only the best to join them on their journey of building their product. They can interview and onboard remotely. Once lockdown measures have eased you can still look to work wherever you feel best. Just as long as you're happy to travel to London when needed.

AWS, S3, Lambda, SQL, Python, NoSQL, ETL, AI, Machine Learning, DynamboDB