Senior Data Engineer

About the role

Norean Tan is recruiting Senior Data Engineers to design, build and scale enterprise data platforms and pipelines. The role shapes data architecture, drives data integration and quality, and develops scalable solutions supporting analytics, business decisions and AI-enabled applications.

Key responsibilities

• Design data architectures, data models and scalable pipelines using ETL/ELT, APIs and batch or streaming integrations.
• Build and maintain data platforms, including data lakes, data warehouses and integration frameworks.
• Develop data products, analytics workflows and AI-enabled solutions using machine learning and LLM technologies where relevant.
• Optimise pipeline performance, data quality, reliability and system scalability.
• Implement DataOps practices, automation, monitoring and CI/CD for data pipelines.
• Establish data governance, security, privacy and quality standards.
• Work with product, engineering, business and infrastructure teams, and lead technical discussions, reviews and mentoring.

Required profile

• At least 7-8 years of experience in data engineering, data architecture or building enterprise data platforms.
• Strong data modelling skills across OLTP, OLAP and dimensional modelling.
• Experience with cloud data platforms such as AWS, Glue, Redshift, Snowflake, Databricks or Azure.
• Proficiency in Python, Scala or Java, with SQL and ETL/ELT development.
• Understanding of AI/ML and LLM-based applications or MLOps is an advantage.
• Good analytical, problem-solving, communication and stakeholder management skills; ability to own complex technical assignments.

Required skills

• Data lakes, data warehouses, APIs, streaming, CDC or message queues
• CI/CD, DataOps, data observability and automated data quality checks
• Good to have: large-scale platform modernisation, complex data integrations and AI-enabled data solutions

Candidates are contacted only after shortlisting.