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About the Client: Our client is a premier, globally recognized financial institution with a massive footprint in the Asian market. They are currently investing heavily in their Management Information (MI) and Data Analytics capabilities to drive intelligent, data-led decision-making across their extensive distribution network. You will be joining an elite, fast-paced technology division that prides itself on leveraging modern data stacks to solve complex business challenges and optimize frontline operational performance.
The Role & Landscape: As a crucial member of the MI Stream, you will take ownership of building and operating the foundational data architecture that powers the organization's Staff Performance Dashboards.
- Architect and Build: Design, develop, and maintain the core Staff Performance DataMart utilizing distributed databases and SQL engines.
- Pipeline Engineering: Implement highly efficient, scalable ETL processes and stored procedures using Python and SQL to ensure seamless data integration.
- Secure Access Management: Apply advanced user access control logic (Row-Level Security) to guarantee that customized, highly sensitive performance data is securely accessed by the right stakeholder groups.
- Dashboard Collaboration: Partner closely with offshore development teams to design and structure intuitive, highly responsive dashboards for the distribution network.
- Business Translation: Act as the technical linchpin, translating dynamic business requests and finance-aligned definitions into robust data models and reporting solutions.
What We Are Looking For:
- Experience: 5 to 8 years of dedicated professional experience in Data Engineering, ETL development, and building governed reporting datasets.
- Core Technical Stack: Mastery of SQL and vendor-neutral experience with MPP data warehouses (e.g., BigQuery, Snowflake, Redshift, Azure Synapse).
- Programming & Version Control: Strong working proficiency in Python for data manipulation/automation, coupled with practical Git/GitHub workflow experience.
- BI Expertise: Deep familiarity with enterprise BI tools, with a strong preference for Looker.
- Soft Skills: Impeccable stakeholder management skills, capable of bridging the gap between offshore technical teams and local business units. Excellent written and spoken English is mandatory.
Why Apply To This Role: This is an exceptional opportunity to take ownership of a highly visible, greenfield-style project within a Tier-1 financial institution. You will not be a small cog in a large machine; your work will directly influence how sales performance is tracked, measured, and rewarded across the enterprise. You will work with a modern tech stack, collaborate with a high-caliber team, and add a highly prestigious, complex project to your technical portfolio.
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 Data Engineer (ETL & BI) - Leading Financial Institution - J12809 in the subject header. Data provided is for recruitment purposes only.
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