Senior BI Reporting Engineer

Razer; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading technology company in Kuala Lumpur is seeking a Data Engineer to design and implement AI-driven financial reporting solutions. The ideal candidate will have over 4 years of experience with strong SQL and Python skills. Responsibilities include collaborating with finance and engineering teams, automating reports, and enhancing data quality. Competitive compensation and opportunities for innovation are offered.

Qualifications

• 4+ years of experience in data engineering or reporting, with exposure to financial reporting preferred.
• Hands-on experience with AI/ML frameworks and familiarity with LLMs.
• Solid understanding of financial transaction data and reconciliation processes.

Responsibilities

• Design, develop, and maintain automated financial reports and dashboards.
• Collaborate with finance and engineering teams for AI-enabled reporting solutions.
• Perform advanced troubleshooting and resolve discrepancies in data pipelines.

Skills

SQL

Python

Data visualization tools

Problem-solving skills

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Finance, or a related field

Tools

Airflow

dbt

Talend

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

QuickSight

AWS

GCP

Azure

Spark

Presto

Hadoop

Job description

Job Responsibilities/ 工作职责

• Design, develop, and maintain automated financial reports and dashboards, applying AI-driven methods to streamline data processing and reporting.
• Leverage LLMs and AI tools for intelligent data validation, anomaly detection, reconciliation, and report generation.
• Collaborate with finance, payment operations, and engineering teams to gather requirements and implement AI-enabled reporting solutions.
• Enhance ETL processes with automation and machine learning techniques to improve financial data quality and reduce manual intervention.
• Develop reusable AI/ML components for financial reporting tasks such as fraud detection signals, transaction pattern analysis, and reconciliation workflows.
• Integrate financial reporting systems with generative AI tools (e.g., ChatGPT, LangChain) for query handling, report explanation, and natural language summaries.
• Partner with data engineers to ensure robust financial data models, pipelines, and compliance with internal and regulatory standards.
• Perform advanced troubleshooting, leveraging AI-assisted diagnostics to identify and resolve discrepancies in settlement and merchant data pipelines.
• Stay up to date with AI and big data technologies, evaluating opportunities to bring innovation into financial reporting workflows.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Finance, or a related field.
• 4+ years of experience in data engineering or reporting, with exposure to financial reporting and transaction data preferred.
• Strong skills in SQL and Python, with experience in ETL orchestration tools (Airflow, dbt, Talend, or similar).
• Hands‑on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit‑learn) and familiarity with LLMs and generative AI tools.
• Experience integrating AI into financial or reporting workflows (e.g., anomaly detection, NLP‑driven reporting).
• Proficiency with data visualization tools (Tableau, Power BI, QuickSight).
• Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Presto, or Hadoop).
• Solid understanding of financial transaction data, reconciliation processes, and settlement workflows.
• Strong problem‑solving, documentation, and communication skills.

Nice to Have

• Experience applying prompt engineering and embeddings for financial data analysis.
• Knowledge of MLOps practices for deploying and monitoring AI‑driven reporting pipelines.
• Exposure to fintech, payments, or e‑commerce reporting systems.

Pre‑Requisites/ 任职要求

Are you game?