Data Analytics Engineer

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape. Our client portfolio includes top global trading platforms and leading crypto exchanges. With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.

About the Role:

We are looking for a Data Analytics Engineer who combines strong analytical thinking with hands-on data engineering capabilities. In this role, you will work closely with Data Analysts (DA) and software engineering teams to transform business requirements and analytical logic into stable, reliable, and reusable data sources that serve as the foundation for dashboards and data products.

You will connect upstream business requirements, data processing pipelines, and downstream BI applications by leveraging SQL, Python, and ETL/ELT processes to build clean, reliable, and trusted data assets. Your work will ensure that data is not only accessible, but also reusable, scalable, and trusted across the organization.

This is more than a reporting role. You will play a key part in building the team's core data foundation from the ground up, driving data standardization and automation. If you enjoy collaborating with engineering teams, value software development best practices such as Git version control, and want to empower business decisions through high-quality data, we'd love to hear from you.

Key Responsibilities:

• Develop, maintain, and optimize ETL/ELT workflows using SQL and Python. Perform complex data extraction, transformation, and integration to ensure reliable and continuous data delivery for downstream applications.
• Design reusable and maintainable data models, shared datasets, and subject-oriented data layers based on business requirements and analytical use cases.
• Implement data validation mechanisms and proactively troubleshoot data latency, data quality issues, failed workflows, and upstream/downstream dependencies to ensure data accuracy and reliability.
• Utilize Git and version control best practices to manage source code, collaborate through branches, and support structured development, testing, and deployment processes.
• Partner closely with Data Analysts, software engineers, and data warehouse teams to translate business requirements and metric definitions into scalable and maintainable technical solutions.

What We’re Looking For:

• Experience in Data Analytics, Data Engineering, Business Intelligence, or related fields
• Strong SQL skills with the ability to write complex queries, integrate datasets, and optimize query performance.
• Hands-on experience with Python or other data processing languages.
• Experience developing ETL/ELT workflows, data pipelines, scheduling, or automation processes.
• Good understanding of relational databases, data modeling, and basic data warehouse concepts.
• Ability to independently troubleshoot data issues and understand upstream/downstream data dependencies.
• Ability to translate business requirements into scalable and maintainable technical solutions.
• Strong communication and collaboration skills, with experience working closely with Data Analysts and engineering teams.

【Nice-to-have】

• Experience with workflow orchestration tools such as Airflow, dbt, Dagster, or similar technologies.
• Experience with MySQL, PostgreSQL, Doris, or other databases and data warehouse platforms.
• Experience supporting BI platforms such as Power BI, Tableau, or Metabase.
• Familiarity with data modeling concepts including Fact, Dimension, Wide Table, Subject Area, and Semantic Layer.
• Experience with data quality monitoring, data lineage, or metadata management.(具備資料
• Experience with Git, CI/CD, Linux, or server environments

*If this job description resonates with you, we encourage you to apply even if you don't meet all the requirements.

Location:

Zhongshan Dist., Taipei City (Hytech Taipei Office)

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At Hytech, we are dedicated to fostering a diverse and inclusive workplace where every team member feels valued, respected, and supported. Be part of our journey—Apply Today!