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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
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
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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
Education & Experience
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent practical experience)
- Up to 3 years of experience in Data Engineering, Business Intelligence, Database Development, or Software Engineering
- Internship or university project experience is also considered
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Technical Skills
- Experience with some of the following technologies is desirable:
- SQL and relational databases (SQL Server is a plus)
- Basic understanding of Python
- Familiarity with dbt is an advantage
- Understanding of data modelling concepts
- Basic knowledge of Git version control
- Interest in cloud platforms, Kubernetes or OpenShift
- Exposure to ETL / ELT concepts
Working Style
- Strong willingness to learn new technologies
- Analytical thinking and problem-solving mindset
- Structured and detail-oriented
- Team player with good communication skills
- Motivated to develop within a modern Data Engineering environment
Nice to Have
- Basic knowledge of Data Vault concepts
- Familiarity with Kafka or event-driven architectures
- Exposure to Docker or Kubernetes
- Experience with CI/CD concepts
- Interest in financial services or banking environments
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