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Data Engineer

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Experience with Azure Portal and Databricks, Strong programming languages; SQL, Python, Scala, R, Bachelor's degree in computer science or equivalent, 3 years or more work experience as a Data Engineer.

Key responsabilities:

  • Design, manage, and maintain cloud data infrastructure
  • Build and maintain data processing architecture
  • Implement and support access control model
  • Ensure data security and compliance
  • Support the BI team with new data requests
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Michael page Human Resources, Staffing & Recruiting Large https://www.page.com/
5001 - 10000 Employees
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Job description

  • Innovative Projects - Real-time Streaming Data Processing|Excellent office/ hybrid work model


About Our Client

Located in the HK (Office / Hybrid) and reporting to the Group Head of Data Engineering, we are seeking to hire a Data Engineer. The role will be responsible for designing, managing, and maintaining our cloud data infrastructure.

The Data Engineer will work with the other Data Engineer in a newly formed team within the group technology function. The post holder will be expected to work closely with the team and the wider Centralised Insights project team which includes an external data consultancy partner to deliver on our key objectives.

In addition, the Data Engineer will be expected to work closely with our enterprise systems owners and functional heads.

Job Description

The Data Engineer will be responsible owning the following aspects of our data strategy

  • Build and maintain our data processing architecture
  • Implementing, managing, and supporting a robust access control model
  • Management & provisioning of the cloud data infrastructure
  • Development of cloud-based ELT/ETL processes
  • Scope and source new data for ingestion
  • Ownership of the cloud data infrastructure, managing change and enhancements
  • Ensuring high levels of data security and compliance
  • Adhering to data policies and procedures
  • Supporting the BI team with any new data requests


The Successful Applicant

  • Experience with Azure Portal and Databricks is a must
  • Strong programming languages; SQL, Python, Scala, R
  • Strong hands-on experience in analysing data on large datasets (Terabytes)
  • Extensive experience in Dimensional data modelling including complex entity relationships and historical data entities
  • Experience in building and delivering data marts, data warehouses, data lake and delta lake solutions
  • Development of data ingestion pipelines and robust ETL frameworks. Implementation of data cleansing and data quality features in ETL pipelines
  • Must have strong professional experience of data engineering
  • Experience in documenting low level ETL designs
  • Bachelor's degree in computer science (or equivalent)
  • 3 years or more work experience in a similar capacity
  • Demonstrated experience developing and operationalizing complex data projects


What's on Offer

We offer competitive remuneration package and comprehensive fringe benefits including medical and life insurance, excellent learning & development opportunities and flexibility to the right candidate.

Contact: Royce Chan

Quote job ref: JN-102024-6565601

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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