Lead Data Engineer - AI Platform (Stealth Mode Start-Up)

  • Location

    London, England

  • Sector:

    Data

  • Job type:

    Permanent

  • Salary:

    £75000 - £85000 per annum

  • Contact:

    Ross Wiltshire

  • Contact email:

    ross.wiltshire@xcede.co.uk

  • Job ref:

    HQ00027108_1549279188

Xcede's Data Engineering and Data Science team are currently working with one of the UK's most game-changing start-up's to find an exceptional Senior Data Engineer.
Based in the heart of Central London they are building an A.I platform to revolutionise the way we conceive global commerce using a variety of tools (Machine Learning, Computer Vision, NLP). Currently backed by an international VC (who have helped fund numerous unicorns across the planet) and already nearing profitability. Your role would be to integrate yourself into a team structure of Data Scientists/DevOps Engineers - you would be the first Data Engineer to join the team.

This opportunity would give you the chance to work with some of the UK's most recognised Data Scientists on what I would call a 'Career Defining' opportunity for an Engineer looking to make a name for themselves, working on a platform that would cover financial services, social enterprise and business intelligence.

Responsibilities:

-Building out a series of distributed systems, capable to handle the launch of a vast data infrastructure.
-Designing, developing and implementing multistage data pipelines.
-Designing, developing and implementing ETL processes (Both batch & real-time streams).
-Working alongside Data Scientists, Machine Learning Engineers and DevOps Engineers for best practice.

Requirements:

-Strong commercial experience in designing, developing and implementing Data Pipelines at Scale (Using the following technologies ideally - Spark, Python, Scala/Java)
-Strong commercial experience in implementing ETL Processes (Ideally with AWS Glue)
-Strong commercial experience with Cloud Architectures/Infrastructures (AWS - Amazon Web Services, GCP - Google Cloud Platform, Azure)
-Strong commercial experience with streaming technologies (Kafka, Spark, Kinesis, Flink)

If you are interested in this or other Data Engineering roles, please contact Ross Wiltshire on Ross.Wiltshire@xcede.co.uk - +44 (0)2033019903

Unfortunately, this role doesn't offer sponsorship.