The Data Engineer is a crucial member of the Data, BI & Analytics Technology team, tasked with developing, managing, and optimising data pipelines within our data ecosystem. This role is instrumental in implementing the data strategy that supports stakeholders, systems. The Data Engineer will leverage cutting-edge technology in Snowflake, Python, SQL, and Azure to improve our data capabilities and support the investment decision-making process.
Client Details
Our mission is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service. We will do this by protecting and growing our core business, amplifying our strengths and diversifying where we have the right.
Description
- Design, build, and maintain efficient, reliable data pipelines using ETL and ELT processes. Ensure the seamless flow and availability of high-quality data across the organisation
- Use Snowflake for data storage, processing, and analytics. Optimise data structures and queries to support analytics and BI initiatives
- Develop scripts in Python and SQL to automate data processes, integrate data from various sources, and support data analytics and reporting
- Leverage Azure cloud-native technologies to enhance data infrastructure, ensuring scalability, security, and performance
- Work closely with data analysts, BI developers, and the enterprise data management group to understand data needs, contribute to the data governance framework, and deliver on data initiatives
- Apply knowledge of data domains within the finance industry to improve data models, enhance data accuracy, and ensure relevance to business needs
- Evaluate industry developments in cloud and data related technologies, assessing their impact and applicability to the existing enterprise architecture
- Participate in all phases of the agile systems development life cycle, including requirements analysis, design (including code design and code reviews), development, testing and deployment, picking up data development tasks within a 2-week sprint, providing work estimates for tasks to project management, and participating in agile ceremonies
Profile
- Proven experience as a Data Engineer, with a solid background in data pipeline construction, data architecture, and data warehousing
- Expertise in Snowflake, Python, SQL, and cloud-native ETL/ELT tools
- Familiarity with Azure and other cloud-native technologies
- Understanding of finance industry data domains and their application in data engineering
- Strong problem-solving skills and the ability to work collaboratively across teams
- Superb communication and stakeholder management abilities, capable of articulating complex technical concepts to non-technical audiences
- Experience with modern technology stacks, agile methodologies, and cloud computing
- Experience of working with geographically disperse development teams
- Experience of micro-service development and API development
- Degree educated in mathematics or scientific/engineering discipline
Job 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.
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Royce Chan on +852 3602 2491.