Senior IT Engineer

RF360 SINGAPORE PTE LTD; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

RF360 SINGAPORE PTE LTD is seeking a data engineering professional to support the Enterprise Datahub implementation using Databricks, ensuring seamless integration with BI and ERP systems and delivering robust data pipelines.

The role involves collaboration with architects, developers, and analysts to translate requirements into scalable solutions, building ETL/ELT flows and semantic layers, and applying Generative AI tools to boost productivity, quality, and reliability across platforms.

Qualifications

• Degree in Business Informatics, IT, Data Engineering/Analytics, Engineering, or related field.
• Proven experience in data engineering, application support, BI analytics, or related technical roles.
• Strong expertise in Databricks, GitHub, dbt, ETL, Tableau, Power BI, and SQL.
• Familiarity with Generative AI tools (e.g., Copilot, LLM-based assistants).
• Ability to analyze moderately complex problems independently and drive resolution with minimal supervision.
• Strong stakeholder management, teamwork, and clear written and verbal communication skills.
• Experience contributing to technical improvements, process optimization, and operational quality.
• Proficiency in English, both written and spoken.

Responsibilities

• Support the implementation and enhancement of Enterprise Datahub using Databricks and ensure integration with BI and ERP systems.
• Assist complex BI and data platform initiatives while meeting quality and delivery timelines.
• Collaborate with stakeholders, architects, developers, and analysts to translate requirements into solutions.
• Design, implement, test, and optimize data pipelines, ETL/ELT flows, semantic layers, and report solutions.
• Apply AI-driven optimization opportunities to improve data quality, validation, reliability, and efficiency.
• Develop new ideas and automation to improve the platform, processes, and user experience.
• Communicate moderately complex information clearly and timely to different audiences.

Skills

Stakeholder management

Teamwork

Communication

Education

Bachelor's degree in Business Informatics/Information Technology/Data Engineering/Analytics

Tools

Databricks

GitHub

dbt

ETL

Tableau

Power BI

SQL

Job description

Responsibilities

• Support the implementation and enhancement of Enterprise Datahub using Databricks, ensuring seamless integration with existing BI and ERP systems.
• Support complex BI and data platform initiatives while maintaining quality, delivery timelines, and alignment with organizational goals.
• Collaborate with business stakeholders, architects, developers, and analysts to translate requirements into solutions.
• Design, implement, test, and optimize moderately complex data pipelines, ETL/ELT flows, semantic layers, and report solutions with the development team.
• Apply technical knowledge and AI-driven optimization opportunities to improve data quality, validation, reliability, and operational efficiency across supported solutions.
• Develop new and impactful ideas, approaches, and automation opportunities that improve the platform, processes, and user experience.
• Communicates moderately complex information clearly, accurately, and in a timely manner, adapting the message to the audience.

Your Profile

• Degree in Business Informatics, Information Technology, Data Engineering/Analytics, Engineering, or a related field.
• Proven experience in data engineering, application support, BI analytics, or related technical roles.
• Strong expertise in Databricks, GitHub, dbt, ETL, Tableau, Power BI, and SQL.
• Familiarity with Generative AI tools (e.g., Copilot, LLM-based assistants) to enhance productivity, development, and documentation.
• Ability to analyze moderately complex problems independently and drive resolution with minimal supervision.
• Strong stakeholder management, teamwork, and clear written and verbal communication skills.
• Experience contributing to technical improvements, process optimization, and operational quality.
• Proficiency in English, both written and spoken.