Data Engineer – Global Banking

About the role

We are looking for a Data Engineer to join our Global Banking practice. You will work in cross‑functional agile teams with data scientists, machine‑learning engineers, product managers and industry experts to design, build and operate secure, scalable data pipelines that power advanced analytics for our banking clients.

Key responsibilities

• Design, develop and maintain modular data pipelines for machine‑learning workloads, ensuring reproducibility and version control.
• Prepare and manage data environments that meet strict information‑security standards.
• Collaborate with consulting teams and external clients to deliver data‑engineered solutions that support analytics engagements.
• Contribute to the evolution of core data frameworks and technical platforms used across the firm.
• Participate in agile ceremonies and continuously improve delivery processes.

Required profile

• Strong analytical mindset with a passion for solving complex data problems.
• Ability to work autonomously and as part of diverse, high‑performing teams.
• Commitment to continuous learning and professional growth.
• Adherence to ethical standards and data‑security best practices.

Required skills

• Experience building data pipelines for machine‑learning or analytics.
• Knowledge of data‑security and governance principles.
• Familiarity with version‑control systems and reproducible workflow tools.

What we offer

• Competitive salary based on location, experience and skills.
• Comprehensive benefits supporting holistic well‑being.
• Structured learning and apprenticeship programs, mentorship and coaching.
• Global community of colleagues across 65+ countries.