Senior Data Engineer

xcellink pte. ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

xcellink pte. ltd. in Singapore is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines across cloud platforms.

You will translate business needs into technical data solutions and work with stakeholders to optimize data flows and reporting. The role requires 5–7 years in data engineering, strong Azure Synapse/ADF experience, and proficiency in Python and SQL, with excellent communication across technical and business users.

Qualifications

• Degree in Computer Science, Information Technology, Data Engineering, or related discipline.
• 5 to 7 years of experience in Data Engineering.
• Strong experience in Azure Synapse and Azure Data Factory (ADF).
• Proficient in Python and SQL.
• Experience in requirements gathering, stakeholder management, and process documentation.
• Strong communication skills with the ability to work with both technical and business users.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms.
• Gather business requirements and translate them into technical data solutions.
• Engage stakeholders to understand business processes, data challenges, and reporting needs.
• Develop and optimize data models, transformations, and workflows using Python and SQL.
• Collaborate with analytics and reporting teams to support downstream data consumption.
• Monitor, troubleshoot, and improve data pipeline and platform performance.
• Produce business and technical documentation.

Skills

Data engineering

Azure Synapse

Azure Data Factory

Python

SQL

Stakeholder management

Communication

Education

Bachelor's degree in Computer Science/IT/Data Engineering or related

Tools

Databricks

Snowflake

Power BI

Azure Cloud

Job description

Job Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms.
• Gather business requirements and translate them into technical data solutions.
• Engage stakeholders to understand business processes, data challenges, and reporting needs.
• Develop and optimize data models, transformations, and workflows using Python and SQL.
• Collaborate with analytics and reporting teams to support downstream data consumption.
• Monitor, troubleshoot, and improve data pipeline and platform performance.
• Produce business and technical documentation.

Requirements

• Degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
• 5 to 7 years of experience in Data Engineering.
• Strong experience in Azure Synapse and Azure Data Factory (ADF).
• Proficient in Python and SQL.
• Experience in requirements gathering, stakeholder management, and process documentation.
• Strong communication skills with the ability to work with both technical and business users.

Preferred Skills

• Experience with Databricks, Snowflake, or Power BI.
• Experience working in Azure cloud environments.
• Exposure to data architecture and modern data platform practices.