Junior Data Engineer

The OpportunityWe are supporting a major data platform transformation within a banking environment, moving from a legacy SQL Server and SSIS-based landscape to a modern data platform based on dbt, Dagster, and OpenShift. This is an excellent opportunity for a motivated Junior Data Engineer who wants to grow into modern data engineering while working alongside experienced engineers on business-critical financial data platforms. You will gain hands-on experience with modern data technologies, cloud-native platforms, and enterprise data engineering best practices in a highly regulated environment.

What You Will DoYou will support the implementation and operation of modern data pipelines while continuously expanding your technical skills. Data Engineering• Assist in translating legacy ETL processes into modern ELT pipelines using dbt • Support the development of Data Vault 2.0 models • Build and maintain data transformations and curated datasets • Contribute to data integration and migration activities

Workflow & Platform Operations• Support workflow development using Dagster • Assist in deploying and monitoring workloads on OpenShift / Kubernetes • Participate in pipeline monitoring and operational support

Data Quality• Help implement automated data validation and testing • Support reconciliation between legacy and modern platforms • Investigate and resolve data quality issues together with senior team members

Continuous Improvement• Document technical solutions and operational procedures • Learn and apply software engineering best practices • Contribute ideas for improving performance and maintainability • Participate in code reviews and team knowledge sharing