Senior IT Engineer - DataHub & AI Platform Lead

re-zoo-me; Singapore; Hybrid; SGD 110,000 - 190,000; Full time

Job summary

WhiteCrow in Singapore is seeking a Senior IT Engineer to drive Enterprise Datahub initiatives, using Databricks and BI/ERP integrations to deliver scalable data solutions.

You will collaborate with stakeholders, architects, developers and analysts to translate requirements into robust data pipelines, ETL/ELT flows, semantic layers and reports, while applying Generative AI to improve data quality and operational efficiency.

Qualifications

• Degree in Business Informatics, IT, Data Engineering/Analytics, Engineering, or related field.
• Proven experience in data engineering, application support, BI analytics, or related roles.
• Strong experience with Databricks, GitHub, dbt, ETL, Tableau, Power BI, and SQL.
• Familiarity with Generative AI tools to boost productivity and documentation.

Responsibilities

• Support deployment and enhancement of Enterprise Datahub using Databricks and BI/ERP integration.
• Lead complex BI and data platform initiatives with quality and timelines.
• Collaborate with stakeholders, architects, developers, and analysts to translate requirements.
• Design and optimize data pipelines, ETL/ELT, semantic layers, and reporting.
• Apply AI-driven optimization to improve data quality, reliability, and efficiency.
• Propose automation ideas to improve the platform and user experience.
• Communicate complex information clearly to varied audiences.

Skills

Databricks

GitHub

dbt

ETL

Tableau

Power BI

SQL

Generative AI tools

English communication

Stakeholder management

Teamwork

Education

Bachelor's degree or equivalent in Business Informatics / IT / Data Engineering / Analytics / Engineering

Job description

WhiteCrow in Singapore is seeking a Senior IT Engineer to drive Enterprise Datahub initiatives, using Databricks and BI/ERP integrations to deliver scalable data solutions.

You will collaborate with stakeholders, architects, developers and analysts to translate requirements into robust data pipelines, ETL/ELT flows, semantic layers and reports, while applying Generative AI to improve data quality and operational efficiency.