Canopy
WeLab (HK)

WeLab - Senior Data Engineer - WeLab Bank

Mid Level
Hong Kong
Senior Data Engineer - WeLab Bank
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About Us

WeLab aims to bring joy to everyone’s financial journey. We strive to improve people’s lives by reinventing financial services through game-changing technology. We put our people first, whether it’s our customers or our employees. As the only homegrown Hong Kong fintech to receive a virtual banking license, we aim to reinvent and redefine the banking experience by building a bank we love.

Who we're looking for

We are an energetic and passionate team that can deliver and execute. We are looking for other intellectually curious, open-minded and smart-working individuals who are just as passionate as we are about making financial services enjoyable. Now you have the opportunity to join us on our journey to achieve our vision and be part of building a better financial future for everyone.

What you will be doing

WeLab operates WeLend and WeLab Bank in Hong Kong, WeLab Digital (我来数科), Taoxinji (淘新机) and Tianmian Lab (天冕) in Mainland China and a fintech joint venture AWDA in Indonesia. WeLab aims to bring joy to everyone’s financial journey. We strive to improve people’s lives by reinventing financial services through game-changing technology. We put our people first, whether it’s our customers or our employees.

As the only homegrown Hong Kong fintech to receive a virtual banking license, we aim to reinvent and redefine the banking experience by building a bank we love.

We are an energetic and passionate team that can deliver and execute. We are looking for other intellectually curious, open-minded and smart-working individuals who are just as passionate as we are about making financial services enjoyable. Now you have the opportunity to join us on our journey to achieve our vision and be part of building a better financial future for everyone.

What you’ll do and what success looks like in this role:
  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
  • Collaborates with BI & business teams to develop data analytic tools
  • Implements processes and systems to monitor data quality
  • Conduct unit/integration tests, contributes to engineering wiki, and documents work.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Contribute to business optimization with analytical data reports
  • Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
  • Designs data integrations and data quality framework.
  • Designs and evaluates open source and vendor tools for data lineage.
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • The tech stack we use in development:
  • Data Analytics: Python, Jupyter Notebook, Pandas, Airflow, Behave, Pytest
  • Middleware: PostgreSQL, MariaDB, MongoDB, Redis, Kafka, RabbitMQ, Solace
  • Framework: Java 11, Spring Boot, Spring Cloud, Spring Data, Guava, Lombok
  • Testing: Cucumber, Behave, Pytest, JUnit5, AssertJ, Mockito
  • Cloud Platform: Kubernetes, Docker, AWS, GCP, Azure
  • CI & CD: GitLab, Maven, Nexus IQ, SonarQube, CheckMarx


Who you are
About you:
  • You're a go-getter with mad juggling skills (or multiple hats) who can thrive in a fast-paced, agile environment
  • You have a strong thirst for knowledge and are driven to find solutions that don't exist yet
  • You are comfortable with ambiguity and extremely resourceful (in your past life you could've been a detective)
  • You always find a way to get things done without sacrificing the quality of your work, integrity and values. No task is off limits for you.
  • You are humble and prioritize the success of the team over your own with an eagerness to help those around you
  • You don't shy away from challenges and have the ability to bounce back from setbacks
What is required and what we’re looking for:
  • BSc or MSc in Computer Science, Information Technology or related field
  • Minimum 3 years Python experience in data analytics and ETL processes
  • Banking and/or finance industry knowledge preferred
  • Demonstrable professional experience in rapid-application development (RAD) and analytical processes
  • Experienced in BDD implementation & test automation is highly preferred
  • Knowledge in micro-service architecture would be beneficial
  • Interest in software design and implementation adhere to agile methodologies
  • Good logical and analytical reasoning capabilities
  • Fluent in English, good written and verbal communication skills
What we offer
  • Competitive salary
  • Learning and development stipend, because we value lifelong learning and believe the best way to invest in our employees is to encourage them to continue to learn
  • Work hard and laugh lots (chicken wings and french toast, etc.) with a high-performing, fun and diverse team
  • Weekly afternoon teas and fully stocked fridge
  • Coffee stipend
  • Conveniently located office surrounded by diverse and delicious lunch options
  • Lively office with gaming consoles and a ping pong table
  • Fun extracurricular activities with your colleagues like hiking, yoga, badminton, wine tasting, dragon boat racing, rock climbing, etc.
  • Employee referral bonuses

We offer competitive salary package to the successful candidate.  If you are interested in joining this exciting team, please apply with resume via the "Apply" button.

All information provided by applicants will be used for recruitment purposes only. Information of unsuccessful applicants will be destroyed within 24 months of receipt.

Awards & recognition
  • Financial Times (FT) 2020 Asia-Pacific High-Growth Companies – #2 ranked company
  • 2020 CNBC Disruptor 50 List – #11, only company included from Hong Kong and just one of five from Asia

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23/F, K11 ATELIER King’s Road, 728 King’s Road, Quarry Bay, Hong Kong
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