Software Engineer (Data Engineer)

ABOUT THE PROJECT

Risk & Compliance technology design and deploy cutting edge technology to defend the bank and its customers from Sanctions Risk, Financial Crime Risk, Identity Threat, Unauthorised Trading and Market Abuse & Regulatory Sanctions, as well as supporting Enterprise Risk Management. We provide the systems that enable our global businesses to grow through data-driven, pro-active risk management.

Group Electronic Communication Surveillance (GECS) is a solution that is run by R&C IT Surveillance currently provides regulatory electronic communication surveillance capabilities for HSBC globally. GECS analyses electronic communication traffic such as emails and instant messaging communications and applies various regulatory and HSBC policies against the communications.

We are looking for Software Engineer to join our team. The ideal candidate will have strong expertise in Java and either Python or Go, with a solid understanding of the software development lifecycle (SDLC). You will work on complex distributed systems, contribute to machine learning initiatives, and collaborate across mixed environments including both Windows and Linux systems.

YOUR RESPONSIBILITIES

• Design, develop, and maintain scalable software solutions using Java and Python or Go.

• Architect and implement complex distributed systems to meet business requirements.

• Collaborate with data scientists and engineers on machine learning projects.

• Apply best practices throughout the SDLC, including code reviews, testing, and documentation.

• Work closely with DevOps teams to automate deployment and ensure system reliability.

• Troubleshoot and resolve issues across Windows and Linux environments.

• Continuously improve system performance, security, and scalability.

SKILLS & EXPERIENCE WE REQUIRE

• Strong knowledge of Java and proficiency in Python or Go.

• Solid understanding of the software development lifecycle (SDLC).

• Experience designing and building complex distributed systems.

• Familiarity with machine learning concepts and workflows.

• Experience with DevOps practices and tools.

• Comfortable working in mixed operating system environments (Windows and Linux).

• Excellent analytical and problem-solving skills.

• Strong communication and teamwork abilities.

WHAT WE OFFER

• Competitive salary

• Annual performance-based bonus

• Additional bonuses for recognition awards

• Multisport card

• Private medical care

• Life insurance

• One-time reimbursement of home office set-up (up to 800 PLN).

• Corporate parties & events

• CSR initiatives

• Nursery discounts

• Financial support with trainings and education

• Social fund

• Flexible working hours

• Free parking