Python Data Engineer Tier Banking Project Hong Kong

Unspecified
Hong Kong, HK

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and maintain scalable data models
  • Develop backend services, APIs, or microservices
Typical background
Data EngineeringSoftware Engineering

Transferable backgrounds

  • Coming from Data Science
  • Coming from Machine Learning

Skills & requirements

Required

PythonData EngineeringSQLCloud Services (gcp, Bigquery)

Preferred

CantoneseBanking/financial Services Industry Background

Stack & domain

PythonSQLGoogle Cloud Platform (gcp)BigQueryBankingFinancial Services

About the role

Original posting from Unspecified

About the Client: Our client is a globally recognized technology consulting powerhouse, renowned for driving digital transformation for enterprise organizations worldwide. They operate at the forefront of modern engineering, providing their teams with the opportunity to work on highly complex, large-scale systems. You will be joining an elite engineering hub dedicated to delivering best-in-class data solutions for a premier banking institution.

The Role & Landscape:

- Design, develop, test, and maintain robust Python-based data engineering solutions.

- Build comprehensive data ingestion, wrangling, cleansing, and transformation processes from scratch.

- Utilize modern cloud services (GCP, BigQuery) to support overarching data platform requirements.

- Explore and analyze source data to identify integration needs, data quality issues, and core business value.

- Design and maintain scalable data models tailored for analytics, regulatory reporting, and downstream use cases.

- Develop backend services, APIs, or microservices as required to support the data infrastructure.

What We Are Looking For:

- 3 to 8 years of professional experience in data engineering or a highly related software engineering discipline.

- Exceptional, production-grade Python development skills tailored for data engineering use cases.

- Excellent SQL scripting capabilities and database knowledge.

- Hands-on experience with modern cloud data platforms, preferably Google Cloud Platform (GCP) and BigQuery.

- Fluency in both Cantonese and English is strictly required.

- A background in the banking/financial services industry or top-tier consulting firms is highly advantageous.

Why Apply To This Role: This is an exceptional opportunity to join a globally respected tech consultancy and make an immediate impact on a high-profile banking project. You will work with a modern tech stack (Python, Cloud), enjoy a highly collaborative culture, and secure a long-term, renewable engagement with excellent market compensation and benefits.

If this outstanding opportunity sounds like your next career move, please send your resume in Word format to Danny Kwan at resume(at)pinpointasia(dot)com and put Python Data Engineer | Tier-1 Banking Project - J12821 in the subject header. Data provided is for recruitment purposes only.

Source: Unspecified careers

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