Data Engineer / Database Engineer (DBA)

Must-have skills

• Strong experience in data architecture and enterprise data modelling.
• Expertise in domain-driven design and CQRS implementation.
• Strong relational database design and modelling experience with Oracle and PostgreSQL.
• Ability to design scalable, high-performance data models for OLTP systems.
• Experience creating domain, conceptual, logical, and physical data models.
• Solid understanding of data normalization, denormalization, and distributed data design.
• Strong knowledge of enterprise integration patterns and data governance principles.
• Experience with data migration, integration, and transformation planning.
• Understanding of performance, scalability, resiliency, and disaster recovery considerations.
• Experience in financial services, capital markets, investment banking, trading platforms, risk, or regulatory environments.
• Understanding of financial data domains and transactional systems.
• Excellent written and verbal English communication skills.
• Strong presentation, stakeholder engagement, analytical, documentation, and problem-solving skills.
• Ability to work independently and collaboratively in a fast-paced enterprise environment.

Nice-to-have skills

• Experience with wide-column and distributed NoSQL databases, particularly Cassandra and YugabyteDB.
• Familiarity with distributed database technologies such as Google Cloud Spanner.
• Hands-on experience with data modelling tools, preferably ER/Studio and Hackolade.
• Familiarity with cloud and hybrid data architectures.
• Experience assessing current-state systems and recommending modernization or optimization opportunities.
• Experience working on large enterprise transformation programs.
• Exposure to enterprise architecture frameworks and architecture governance reviews.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Financial industry or architecture certifications.