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Job

Lead Data Engineer - Financial Institution

  • Location

    Hong Kong

  • Sector:

    Financial Services and Banking

  • Job type:

    Permanent

  • Salary:

    Competitive

  • Contact:

    John Duffy

  • Contact email:

    j.duffy@hamlynwilliams.com

  • Salary high:

    0

  • Salary low:

    0

  • Published:

    5 months ago

  • Expiry date:

    2020-06-10

  • Startdate:

    ASAP

Great opportunity to join one of Hong Kong's leading Financial Instiutions, who are on an exciting journey of simplifying and transforming their data landscape. Looking for a Lead Data Engineer to help to empower the business to make data driven solutions, imporving efficiency and profitabily.  You will be joining a cross functional team in a highly international environment based in Hong Kong, London and Shenzhen.

You will develop, maintain, test and evaluate Big Data solutions within their cloud-based Big Data Platform. You will also be leading the design of Big Data solutions to prioritise business challenges. You should have extensive experience in software development with agile methodology, continuous integration and automated releases. Experience in engineering (commercial or open source) software platforms and large-scale data infrastructures (preferably on cloud) is a must.

The Role 

  • Building and Architecting distributed and highly parallelised Big Data ingestion and processing pipeline which is able to process massive amounts of data (both structured and unstructured data) in near real-time
  • Evaluate and deploy data quality framework to measure and improve data quality in the organisation over time
  • Engage with data stewards, producers and consumers to design appropriate data pipelines
  • Automate processes where possible and are repeatable and reliable
  • Work closely with Product Managers to deliver platform product roadmaps
  • Leading a team of Data Engineers and Site Reliability Engineers to deliver according to platform product roadmaps in a continuous delivery environment
     

You

Ideal candidate should have 10+ years experience in Data engineering /Platform Engineering solving complex problems
 

  • Ability to write production code in Python or Scala 
  • Have strong interests in the latest Data Technology
  • Data driven thinking
  • Experience in container technologies (OpenShift, Docker or k8s)
  • Experienced in environments with strong Site Reliability engineering culture
  • Experienced in leading a small team of talented engineers in a financial services or technology space
  • Delivery focus with strong product mind-set
  • Knowledge in design and implementation of data infrastructure on AWS or GCP
  • Excellent communication skills and experience working in cross functional teams

 

Plus if you have

  • Experience in Apache Spark and Nifi
  • Experience in delivering data platforms with strong product mindset
  • Experience in in-memory data processing
  • Experience in implementing data security capabilities such as encryption and anonymisation
  • Solid grounding in the Financial Services industry
  • Solid knowledge in SQL
  • Understanding in statistical models, machine learning, graph analysis 

 

If this is of interest and you would like to know more, do apply and we shall reach out if your profile is suitable.