Data Engineer

• Define and deliver large enterprise-scale big data ecosystems; evaluate existing data architecture and collaborate with team members to continuously enhance and evolve the data technology stack.
• Implement data ingestion and transformation pipelines using Snowflake SQL, stored procedures, and other relevant tooling.
• Analyse data by joining, enriching, and validating to ensure quality and meaningful insights.
• Ensure that all Non-Functional Requirements (e.g., security, performance, availability and disaster recovery/fail-over, scalability, compliance) are properly articulated, designed, implemented, and documented.
• Evaluate, prototype, and recommend emerging cloud data technologies and platforms from open-source or vendors; independently conduct POC projects.
• Communicate complex technical topics to non-technical business personnel and assist with scoping and architecting cloud data solutions.
• Partner with Data Governance teams to ensure accurate and complete metadata collection (e.g., using Collibra).
• Promote data mesh principles and best practices to broad user groups across technology and business areas.

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