Junior Data Engineer

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
• 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

Requirements

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

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