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Data Engineer

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Data Engineer

  • Location:

    City of London

  • Sector:

    Information & Cyber Security

  • Job type:

    Permanent

  • Salary:

    £80000.00 - £100000.00 per annum + + Package

  • Contact:

    Haider Khan

  • Contact email:

    hakhan@mcgregor-boyall.com

  • Job ref:

    BBBH156411_1663075918

  • Published:

    14 days ago

  • Expiry date:

    2022-10-13

  • Startdate:

    ASAP

**Permanent role**

**£80k - £100k per annum (+ package)**

**SPONSORSHIP - NOT AVAILABLE **

**Hybrid working - 1 day a week in the office**

I am working with a global investment banking client who are looking to bring on a Data Engineer to be part of their fast-growing team. They offer investment solutions services and retirement expertise to more than 2.5 million customers globally. The team are engaged in a large-scale strategic realignment programme that will integrate functionality from separate product and asset teams into a single, web and data driven platform. This data engineer will work alongside lead developers, set standards and create working patterns for more junior staff to follow and help drive our cloud migration activities.

The responsibilities

  • Work with strategic change teams to develop cross asset research and portfolio management capabilities
  • Contribute to agile working practices and tools selection and configuration to create a durable development platform for the future.
  • Develop data components as required in conjunction with business stakeholders to both fulfil immediate business needs and move the strategic platform forward.
  • Provide leadership and oversight for global data engineering team within the Research & Portfolio Management portfolio

Essential

  • Building analytical platforms (ingress, metadata, data catalogue)
  • Data Streaming (Flink/Spark/Kafka and or Cloud equivalents)
  • Search optimisers (ElasticSearch/Lucene)
  • REST alternatives (GraphQL, AsyncAPI etc.)
  • ML pipelines
  • Data Science Sandbox kits (Jupyter, Anaconda)
  • Workflow tools (Airflow, Step Functions etc.)
  • Familiarity with traditional RDBMS (Oracle)
  • Cloud experience / awareness
    • Terraform
    • Kubernetes
    • Native vs. managed services
    • Cost optimisation

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.