Senior Data Engineer

About the role

We are looking for a Senior Data Engineer to lead the design and implementation of scalable data platforms for a leading banking and financial services organization in Colombo. The role focuses on building cloud‑native data solutions on Microsoft Azure, ensuring high‑quality, reliable, and secure data for analytics and business intelligence.

Key responsibilities

• Design and implement enterprise data architectures, data warehouses, data lakes and lakehouse solutions.
• Develop and maintain robust ETL/ELT pipelines for structured and unstructured data.
• Integrate data from ERP systems, operational platforms, IoT sources, APIs and other critical applications.
• Build cloud‑based solutions using Azure Data Factory, Databricks, PySpark and related tools.
• Manage Delta Lake, Delta Tables and Delta Live Table implementations.
• Support Microsoft Fabric, Azure Synapse and Azure Data Warehouse environments.
• Lead data modelling, architecture and database design activities.
• Establish data governance standards, engineering best practices and technical guidelines.
• Monitor and improve data quality, reliability, performance, security and accessibility.
• Optimize SQL queries and large‑scale data‑processing workloads.
• Develop real‑time, event‑driven solutions using Azure Event Hubs and Event Grid.
• Collaborate with business units, analysts, data scientists and stakeholders to translate requirements into technical solutions.
• Prepare technical specifications, architectural roadmaps and solution documentation.
• Implement CI/CD pipelines and DevOps practices for data engineering solutions.
• Support Power BI and analytics teams with trusted data models and datasets.
• Mentor data engineers and provide technical guidance across development teams.

Required profile

• Bachelor's degree in IT, Computer Science, Data Engineering or related field.
• 8‑10 years of experience in software engineering, data engineering or data architecture.
• Strong experience designing and implementing enterprise data platforms.
• Hands‑on experience with Microsoft Azure data services.
• Experience integrating data from ERP systems such as SAP.
• Good knowledge of data governance, data quality, metadata management and security practices.

Required skills

• Microsoft Azure Data Factory
• Azure Databricks
• PySpark
• SQL / Microsoft SQL Server
• SSIS
• SSAS
• Azure Synapse
• Azure Data Lake
• Delta Lake, Delta Tables, Delta Live Tables
• Microsoft Fabric
• CI/CD and DevOps
• Power BI
• Azure Event Hubs
• Azure Event Grid
• SAP ERP integration
• IoT data ingestion and processing