Data Engineer

Job Purpose

Design, develop, and maintain robust ETL/ELT data pipelines as part of our enterprise data platform. This role supports the organizations data-driven decision-making by enabling scalable, high-quality data solutions that power analytics, reporting, and business intelligence.

• Design, implement, and maintain reliable ETL/ELT pipelines to support data ingestion, transformation, and delivery.
• Develop and enhance scalable data models and data warehouse structures to support reporting and advanced analytics.
• Collaborate with cross-functional stakeholders to translate business requirements into effective data solutions.
• Implement and maintain data quality, validation, and monitoring processes to ensure data integrity and reliability.
• Uphold data governance standards, security protocols, and compliance requirements.
• Mentor and support junior team members through training, peer reviews, and knowledge sharing.
• Continuously improve existing data infrastructure and tools to optimize performance and scalability.
• Develop interactive and insightful dashboards and reports using Pyramid Analytics and/or Power BI.

• A relevant 3-year degree or diploma in IT, Computer Science, Data Engineering, or related field.
• Minimum of 5 years' experience in designing and building data pipelines.
• Advanced SQL skills and experience working with relational databases such as SQL Server, MySQL, or PostgreSQL.
• Proven experience with business intelligence tools, particularly Power BI or Pyramid Analytics.
• Advantageous:
• Experience with SSRS, SSAS, and SSIS.
• Familiarity with dbt, Azure Data Factory, and cloud platforms (especially Azure).
• Experience with unit, integration, and regression testing of data solutions.

• Strong analytical and problem-solving skills.
• Proficient in data collection, analysis, modeling, and visualization.
• Solid understanding of data architecture and best practices in modern data platforms.
• Excellent communication and presentation skills.
• Experience in data-driven projects across Retail, Finance, Customer, or HR domains is advantageous.