About the Job:
We are seeking a talented and motivated Data Engineer to join our tech development team. The role will primarily be focused on developing and maintaining data models for financial institutions, utilizing both relational and NoSQL technologies. In addition to data modeling, the role will involve maintaining and testing data pipelines to ensure the quality and maintainability of the data infrastructure. The ideal candidate will have a background in data engineering, preferably with experience in both relational and NoSQL databases, as well as a passion for delivering high-quality solutions.
You will be a part of a fast-growing team that values cooperation and encourages individuals to take initiative in finding new solutions as well as evolving and improving current processes. We are a tight-knit team that likes to solve problems together and believes in the benefits of teamwork.
As a part of the team working on internal tech development, you will be working on tasks such as, but not limited to:
Background and Experience:
Who you are
We are looking for a structured and analytical problem-solver with a keen eye for detail and a strong sense of ownership. You thrive in a data-driven environment, approaching challenges methodically and with a solutions-oriented mindset.
Collaboration is key in our team, so we value excellent communication skills and the ability to explain complex technical concepts in a clear and concise manner. You should be comfortable working both independently and as part of a team, proactively sharing knowledge and supporting colleagues.
A continuous improvement mindset is essential—whether it’s optimizing data pipelines, refining backend architecture, or staying up to date with new technologies. We appreciate a proactive attitude, curiosity, and a drive to create scalable, efficient, and secure solutions.
Additional information
We review applications continuously, so don’t wait—apply as soon as you’re ready! As long as the job posting is live, the position is still available. Our selection process is designed to highlight your strengths through steps such as work-related psychological assessments, business cases, interviews, and reference checks. We focus on competencies throughout the process and strive to make your experience as smooth as possible by keeping you informed and answering any questions you may have.
To comply with GDPR regulations, we do not accept applications via email. Please submit your application through the official application portal.