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