Job Title:  Data Engineer - IT

Job Description

Job Purpose

• Involve in the design, build and maintain reliable data pipelines and integrations to deliver accurate, timely and secure information for reporting and analytics across the company. 
• Ensure seamless operations and data continuity between legacy and modern data environments, supporting the enterprise data warehouse and analytics lifecycle.
• Collaborate with IT and business teams to enhance data quality, governance and insight generation that drive informed business decisions.

Job Accountabilities

• Provide professional support in design, build and manage data pipelines and integrations to ensure accurate, timely and reliable data delivery for enterprise reporting and analytics.
• Maintain and enhance legacy interfaces and ETL processes to support operational continuity alongside modern data workflows.
• Monitor data flows, troubleshoot issues and perform root cause analysis to maintain data integrity and system uptime.
• Profile, cleanse and transform data from multiple sources to ensure quality, consistency and usability across systems.
• Collaborate with data analysts, system owners and vendors to deliver structured, validated and well-documented datasets.
• Contribute to the business process in developing and implementing automation, scheduling and error-handling mechanisms to improve efficiency and reliability.
• Participate in data-related projects, contributing to planning, testing, deployment and change control activities.
• Provide technical support and cross-coverage within the data team to ensure business continuity and knowledge sharing.

Qualifications

• Bachelor’s Degree in Computer Science, Data Science, Information Systems, Data Engineering or related discipline.
• Minimum 3-4 years of relevant experience in data engineering, ETL development or data warehousing, preferably in an enterprise or cloud environment.
• Demonstrated experience in building and maintaining data integrations between multiple systems (e.g. Oracle, SQL Server, APIs, flat files, etc).
• Exposure to both on-premise and cloud-based data architectures. Experience in Microsoft ecosystem (e.g. Azure, Fabric, Power BI) is an advantage.

Job Summary

The Data Engineer plays a key role in designing, building and maintaining reliable data pipelines and integrations that support company-wide reporting and analytics. The role ensures operational continuity between legacy and modern data environments while strengthening data quality, governance and automation. This position supports the enterprise data warehouse and analytics lifecycle in collaboration with IT and business teams.

Education

Bachelor’s Degree in Computer Science, Data Science, Information Systems, Data Engineering or related discipline.

Training

• Certified in Microsoft Azure, Data Engineering, Power Platform or Fabric are a plus.
• Training in SQL, data pipeline automation or scripting (Python, PowerShell, etc) is an advantage.
• Continuous professional development in data management, data governance or business intelligence tools encouraged.