Senior Data Engineer
Location: Hong Kong
Type: Full-time (Hong Kong Employment Visa sponsored)
Department: Technology
Job Summary
We are hiring for experienced Senior Data Engineering Specialist to work on a high-impact role supporting critical data engineering initiatives for one of the world’s leading investment banks. You will design and optimize large-scale data solutions on Snowflake, with a strong focus on leveraging Snowflake Cortex AI capabilities to deliver intelligent, AI-powered data platforms.
Responsibilities
- Design and implement scalable Snowflake data architectures, including data modeling, performance optimization, security, and governance best practices.
- Build and maintain robust ETL/ELT pipelines using modern tools and Snowflake-native capabilities (Streams, Tasks, Dynamic Tables, Snowpipe, etc.).
- Develop advanced data solutions using Python (Snowpark) for complex transformations, data processing, and orchestration.
- Leverage Snowflake Cortex AI features extensively, including Cortex Analyst, Cortex Search, Cortex AI Functions (LLM functions), Cortex Agents, and AI-powered SQL to extract insights from structured and unstructured data.
- Integrate AI capabilities into data pipelines for intelligent data processing, automated feature engineering, semantic search, document analysis, and generative AI use cases relevant to investment banking.
- Good communication skills, ability to work independently and coordinate with variety of stakeholders across geographies
- Mentor junior team members and contribute to best practices.
Eligibility Requirements
- Strong development experience in a programming language such as Java/C++. Previous working 10+ years of strong experience in Data Engineering, with at least 5+ years focused on Snowflake platform.
- Good expertise in Snowflake architecture design, administration, performance tuning, and cost optimization.
- Strong hands-on experience in building ETL/ELT pipelines at enterprise scale.
- Proficiency in Python for data engineering, preferably with Snowpark for Python-based development within Snowflake.
- Hands-on experience with Snowflake Cortex AI (highly critical):
- Cortex AI Functions / LLM Functions
- Cortex Analyst & Cortex Search
- Building AI Agents and semantic models
- Integration of generative AI capabilities into data workflows
- Strong understanding of investment banking / capital markets domain is a big plus.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Preferred Qualifications
- Snowflake certifications (SnowPro Core / Advanced Architect).
- Experience with other cloud platforms (AWS, Azure) and tools like dbt, Airflow, Kafka.
- Prior experience working with global investment banks or financial institutions.
- Exposure to responsible AI governance frameworks (e.g., ISO 42001).
How to Apply
- Click "Apply Now" to submit your resume through our career site
- Be sure to include any relevant experience that aligns with the role.
- Qualified candidates will be contacted by a member of our recruitment team for next steps
About eClerx
eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.
The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.
For more information, visit www.eclerx.com
You can also find us on:
https://www.linkedin.com/company/eclerx/
https://www.indeed.com/cmp/Eclerx/about
https://www.glassdoor.com/eClerx
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here
Skills Required
- 10+ years of experience in Data Engineering
- 5+ years of focused experience on Snowflake platform
- Strong development experience in Java or C++
- Proficiency in Python for data engineering
- Hands-on experience with Snowflake Cortex AI
- Bachelor's or Master's degree in Computer Science or related field
eClerx LLC Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eClerx LLC and has not been reviewed or approved by eClerx LLC.
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Healthcare Strength — Feedback suggests U.S. employees have access to medical, dental, and vision coverage, with HSA/FSA options and life insurance included. An Employee Assistance Program also appears in the public benefits profile supporting wellbeing.
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Retirement Support — Feedback suggests a 401(k) is part of the U.S. package, with some mentions of an employer match. Retirement provision is consistently cited across company profiles and listings.
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Leave & Time Off Breadth — Feedback suggests paid holidays, sick leave, and PTO are part of the offering, alongside parental leave. Parental leave is also highlighted in public benefits profiles.
eClerx LLC Insights
What We Do
eClerx provides business process management, automation and analytics services to a number of Fortune 2000 enterprises, including some of the world's leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is today traded on both the Bombay and National Stock Exchanges of India. The firm employs 16,000+ people across Australia, Canada, Germany, India, Italy, Netherlands, Philippines, Singapore, Thailand, UK, and the USA.
