Senior Data Engineer

About UnicornFintech

UnicornFintech is a core member of Hytech Group, a global management consulting firm headquartered in Australia and Singapore. We provide end-to-end digital transformation solutions for fintech and financial services, from strategy to system implementation, helping clients improve efficiency and stay competitive.

We apply AI and data-driven approaches to real-world financial use cases, including risk management, process optimization, and decision support, with a focus on delivering practical impact.

With 2,000+ professionals across Asia, the Middle East, and beyond, we are expanding our Taiwan team and hiring talent in financial systems, data, and AI.

About the Role

We're seeking a Senior Finance Data Engineer to lead our critical journey of migrating on-premise financial data to AWS cloud environments and spearhead the automation of critical financial reporting.You'll join a dynamic and agile data team and collaborate closely with our internal IT team, data analysts, and finance stakeholders to deliver robust and scalable data solutions.

Key Responsibilities

• Lead AWS Cloud Migration: Drive the strategic planning and execution of migrating core financial data from on-premise VMs to AWS cloud.
• Build & Optimize Data Pipelines: Design, develop, and maintain high-performance ETL/ELT pipelines for automated financial reporting and analytical dashboards.
• Data Architecture Enhancement: Continuously evaluate and implement advanced data engineering practices and technologies (e.g., DataOps, FinOps) to optimize existing data architectures.
• Cross-functional Collaboration: Partner with finance teams to understand business requirements, translating them into technical solutions and clearly communicating complex concepts to non-technical stakeholders.
• End-to-End Project Ownership: Take ownership of data projects from design to deployment, including Datalake management, data collection, cleansing, and storage.

What We're Looking For:

• Expertise in SQL for large-scale relational and distributed databases, including CRUD operations, performance tuning, and data cleansing (ETL/ELT).
• Strong Python development skills with proficiency in data engineering libraries (e.g., pandas, numpy, pyspark).
• Demonstrable experience with AWS cloud services (e.g., S3, EC2, Lambda, Glue, Redshift, Athena) and Databricks.
• Proficiency in designing and implementing data pipelines using orchestration tools like Dagster or Airflow.
• 5+ years of hands-on experience as a Data Engineer, with a proven track record of leading data projects independently.
• Excellent analytical and problem-solving skills, with the ability to understand complex business logic and communicate effectively across teams.
• Native or Professional Fluency in Chinese. Intermediate English proficiency or above (Experience communicating with overseas financial institutions is a plus).

What We Offer

• A collaborative and inclusive work environment.
• Opportunities for professional growth and development.
• The chance to play a pivotal role in shaping the future of our organization.