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Data Engineer (BI Team)

PalUp develops Human-AI technology designed to replicate human-like qualities for dynamic interactions through advanced capabilities like speech, vision, personality, and memory.
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
AI · Enterprise SaaS
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Description For Data Engineer (BI Team)

PalUp is at the forefront of revolutionizing AI technology with their Human-AI platform, designed to create truly dynamic and personalized interactions. Their technology integrates advanced capabilities including speech, vision, personality, and memory to deliver immersive experiences tailored to each individual user.

The company is seeking a Data Engineer to join their Business Intelligence (BI) team, where you'll play a crucial role in building and maintaining the data infrastructure that powers company-wide decision-making. This position combines technical expertise in data engineering with business intelligence, requiring someone who can transform raw interaction and product telemetry data into actionable insights.

As a Data Engineer, you'll be responsible for architecting and optimizing end-to-end data pipelines, building robust data models, and ensuring data integrity across all BI systems. You'll work closely with cross-functional teams including Product, Marketing, Sales, and Operations to understand their needs and deliver scalable data solutions. The role requires expertise in SQL, Python, and modern data warehouse technologies, along with experience in ETL/ELT processes and BI tools.

This is an excellent opportunity for a data professional who wants to work at the intersection of AI and business intelligence, helping to shape how a cutting-edge AI company measures and improves its performance. The position offers the chance to work in a fast-paced startup environment where you'll have significant impact on the company's data infrastructure and decision-making processes.

The ideal candidate will bring 3+ years of relevant experience, strong technical skills, and the ability to work effectively in a dynamic environment. Knowledge of AI agent or LLM-driven products and their telemetry data would be a plus, as would familiarity with SaaS operational metrics. Being bilingual in Mandarin Chinese and English would be advantageous for this Taipei-based position.

Last updated a month ago

Responsibilities For Data Engineer (BI Team)

  • Own and optimize end-to-end data pipelines that feed dashboards, product metrics, and strategic reporting
  • Build and maintain data models in warehouse to support self-service analytics
  • Partner with cross-functional stakeholders to understand business needs and translate them into scalable data solutions
  • Develop and manage ETL/ELT processes using tools like dbt, Airflow
  • Ensure data integrity, governance, and security across all BI systems
  • Define and implement metrics that measure user engagement and business value
  • Analyze product and user data to identify trends and report key insights to executives

Requirements For Data Engineer (BI Team)

Python
  • 3+ years of experience in data engineering, analytics engineering, or similar roles
  • Advanced SQL skills and experience working with cloud data warehouses
  • Experience with Python for scripting and data transformation
  • Familiarity with BI tools and supporting BI team with clean, well-modeled datasets
  • Strong understanding of data modeling principles, data quality assurance, and data governance best practices
  • Ability to work cross-functionally in a fast-paced, high-ambiguity startup environment
  • Fluent in both Mandarin Chinese and English

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