About the Role
We are transforming the way data drives decision-making across the organization. We are looking for a talented Data Engineer to join our growing Data & Analytics team and help build scalable, reliable, and secure data solutions that power analytics, reporting, regulatory, operational, and AI-driven initiatives. The role is based within our Information Technology division and reports to the Lead Data Engineer.
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What You Will Do
- Design, build, deploy, and maintain scalable data pipelines on the Databricks Lakehouse platform.
- Develop and optimize data ingestion, transformation, and enrichment processes across batch, streaming, and near-real-time workloads.
- Build and maintain curated datasets and data models that support business intelligence, analytics, regulatory reporting, and AI use cases.
- Implement data quality controls, monitoring, reconciliations, and automated testing frameworks.
- Support migration of legacy data solutions into modern cloud-based data platforms.
- Troubleshoot production issues, perform root-cause analysis, and continuously improve platform reliability.
- Collaborate with architects, analysts, governance teams, and business stakeholders to deliver trusted data products.
- Contribute to Agile delivery practices using Azure DevOps, CI/CD, and engineering best practices.
What You Will Bring
- 3-7 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related field.
- Strong hands-on experience with SQL, Python, PySpark, and Spark SQL.
- Experience working with Databricks, Delta Lake, Databricks Workflows, and Databricks SQL.
- Knowledge of Azure Data Factory (ADF), dbt, CDC frameworks, and streaming technologies such as Kafka/Confluent.
- Understanding of dimensional modelling, medallion architecture, data quality frameworks, and data governance principles.
- Familiarity with Git, CI/CD practices, and Agile delivery methodologies.
- Strong problem-solving, collaboration, and communication skills.
- Banking or financial services experience is advantageous.
- Azure or Databricks certifications will be an added advantage.
