Join a forward-thinking technology team where data is at the heart of business decision-making. As a Principal Database Engineer, you will provide technical leadership across database engineering, business intelligence, data warehousing, and data integration initiatives, ensuring solutions are scalable, high-performing, and aligned to strategic business goals.
You will work closely with technical and business stakeholders, guiding the design and implementation of enterprise data solutions while championing best practices and emerging technologies. This role offers the opportunity to influence architecture decisions, mentor technical teams, and play a key role in shaping the future of the organisations data platform capabilities.
If you are passionate about enterprise data architecture, optimisation, and innovation, this is an excellent opportunity to make a significant impact.
Key Responsibilities:
  • Lead the design, development, and delivery of database, data warehouse, and business intelligence solutions
  • Engage with business stakeholders to gather requirements and translate them into scalable technical solutions
  • Design logical and physical data models, ETL processes, and metadata repositories
  • Develop and maintain enterprise database models and architecture standards
  • Provide technical leadership and mentorship to development and data teams
  • Audit and optimise database performance, ETL processes, and data integration solutions
  • Champion best practices, governance standards, and emerging technologies within the data environment
  • Support innovation initiatives through the evaluation and adoption of new technologies

Job Experience and Skills Required:
  • Education: Bachelor's Degree in Computer Science or a related field (Master's Degree advantageous)
  • Experience:
    • Minimum 810 years' experience in database engineering, data warehousing, business intelligence, or data architecture
    • Proven experience leading enterprise data initiatives and technical teams
    • Experience designing large-scale data integration and reporting solutions
  • Technical Skills:
    • Advanced SQL and PL/SQL development
    • Oracle Database (19c or later), Oracle Exadata, and SQL Developer
    • Data modelling and data warehouse architecture
    • ETL development using Oracle Data Integrator (ODI)
    • Relational database tuning and performance optimisation
    • Oracle Golden Gate and replication technologies
    • Business Intelligence and metadata development
    • Python scripting, Spark, and REST API integrations
  • Advantageous:
    • Exposure to Microsoft Fabric, Snowflake, Databricks, or modern cloud data platforms
    • Experience supporting AI-driven data and analytics initiatives
  • Additional Requirements:
    • Strong communication and stakeholder management skills
    • Excellent organisational and project prioritisation abilities
    • Ability to lead cross-functional teams and influence technical direction
    • Comfortable working in a fast-paced, evolving environment

Apply now!
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