Are you a problem-solver with a passion for data, performance, and smart engineering? This is your opportunity to join a fast-paced team working at the forefront of data platform innovation in the financial technology space. You'll tackle exciting technical challenges, collaborate with talented people, and help shape scalable, secure, and high-performing data services that power critical systems every day. Why You Should Join • Work on high-impact projects with large-scale data in a fast-moving environment. • Use modern technologies and engineering practices. • Be part of a collaborative team that values curiosity, innovation, and continuous learning. • Enjoy a flexible working culture where your voice is heard. About the Role We're looking for a Data Engineer to help build and evolve lifecycle management services, data workflows, and compliance-ready infrastructure. You'll work across technical and business teams to design robust, scalable solutions from the ground up - with performance, reliability, and governance at the core. What You'll Do • Design and develop data services that support performance, security, and lifecycle management. • Collaborate with stakeholders to understand needs and shape scalable solutions. • Implement tools and workflows that ensure data integrity, compliance, and audit readiness. • Evaluate and recommend new technologies and approaches. • Foster a positive team environment where knowledge is shared and challenges are solved together. What You Bring • Proactive mindset with strong ownership and delivery focus. • Experience working with high-volume data platforms and distributed systems. • Strong SQL and PL/SQL skills with deep understanding of Oracle architecture and partitioning. • Solid Python skills (primary language), along with shell scripting and full-stack fundamentals. • Experience with DevOps pipelines (GitHub Actions, Jenkins). • Familiarity with large-scale data management and engineering best practices. Bonus Points For • Workflow orchestration tools like Airflow. • Working knowledge of Kafka and Kafka Connect. • Experience with Delta Lake and lakehouse architectures. • Proficiency in data serialization formats: JSON, XML, PARQUET, YAML. • Cloud-based data services experience. Ready to build the future of data? If you're a collaborative, forward-thinking engineer who wants to work on meaningful, complex problems with great people - we'd love to hear from you. Apply now and bring your ideas to life.