Job Description

Location: Krakow (Hybrid)

Rate: Up to 2200 PLN/day

Duration: 6-month rolling contract

Overview

We’re seeking a skilled Spark Software Engineer to join a dynamic agile team focused on building the strategic backbone between Dealstores and Operations/Regulatory systems. This role is part of a long-term initiative to modernise infrastructure and leverage cloud technologies for enhanced performance and scalability.

Key Responsibilities

Design and develop a strategic platform enabling trade executions to flow seamlessly between systems.
Translate epics and features into robust, scalable functionality.
Collaborate closely with agile pod members during sprints to deliver product requirements.
Work directly with the product team to understand and implement required features.

About the Team

You’ll be part of the Digital Operations stream within the Investment Bank, a technology group driving transformation through simplification and innovation. The team supports regulatory and data clients by delivering cutting-edge solutions using the latest technologies. With a global footprint across London, New York, Singapore, Zurich, Hong Kong, Poland, and India, the team values diversity, autonomy, and continuous learning.

Required Skills & Experience

Bachelor’s degree in Computer Science or relevant certification.
Strong hands-on experience with Spark and PySpark for scalable data processing.
Databricks experience (desirable)
Proven experience with Kafka for real-time and batch data workflows.
Familiarity with Databricks and Delta Tables (nice to have).
Proficient in CI/CD pipelines (GitLab, ADO, or GitHub).
Skilled in test-driven development and software design principles.
Solid understanding of cloud architecture, preferably Azure (AWS or GCP also considered).
Experience with Java backend development is a plus.
Knowledge of Kubernetes and modern data infrastructure is advantageous.

Interested?

If you're passionate about data engineering and cloud technologies, and want to be part of a forward-thinking, agile team, we’d love to hear from you.