The Opportunity
We 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 Do
You 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
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Support the development of Data Vault 2.0 models
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Build and maintain data transformations and curated datasets
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Contribute to data integration and migration activities
Workflow & Platform Operations-
Support workflow development using Dagster
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Assist in deploying and monitoring workloads on OpenShift / Kubernetes
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Participate in pipeline monitoring and operational support
Data Quality-
Help implement automated data validation and testing
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Support reconciliation between legacy and modern platforms
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Investigate and resolve data quality issues together with senior team members
Continuous Improvement-
Document technical solutions and operational procedures
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Learn and apply software engineering best practices
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Contribute ideas for improving performance and maintainability
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Participate in code reviews and team knowledge sharing
Requirements
Education & Experience-
Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent practical experience)
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Up to 3 years of experience in Data Engineering, Business Intelligence, Database Development, or Software Engineering
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Internship or university project experience is also considered
Technical Skills
Experience with some of the following technologies is desirable:
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SQL and relational databases (SQL Server is a plus)
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Basic understanding of Python
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Familiarity with dbt is an advantage
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Understanding of data modelling concepts
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Basic knowledge of Git version control
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Interest in cloud platforms, Kubernetes or OpenShift
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Exposure to ETL / ELT concepts
Working Style-
Strong willingness to learn new technologies
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Analytical thinking and problem-solving mindset
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Structured and detail-oriented
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Team player with good communication skills
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Motivated to develop within a modern Data Engineering environment
Nice to Have-
Basic knowledge of Data Vault concepts
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Familiarity with Kafka or event-driven architectures
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Exposure to Docker or Kubernetes
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Experience with CI/CD concepts
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Interest in financial services or banking environments
