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.