Role purpose
Design, build and support client data pipelines, integrations and services under approved architecture, security, quality and operational controls.
Key responsibilities
- Deliver QDKC-aligned client work using the official guides, templates and frameworks relevant to the engagement.
- Assess client evidence, facilitate workshops and produce traceable recommendations or implementation deliverables.
- For client engagements, design, build and test ingestion, transformation and delivery pipelines.
- Support client implementation of data models, APIs, integration controls and reusable components.
- For client engagements, apply quality, metadata, lineage, security and monitoring requirements.
- For client engagements, optimize performance, reliability, scalability and cost.
- Transfer knowledge to client personnel and document decisions, assumptions, dependencies and handover requirements.
- Respect client governance: consultants advise, facilitate and deliver, but do not replace the client's accountable owners, approvers or governance bodies.
Recommended minimum requirements
Education: Bachelor's degree in computer science, software engineering, data engineering or a related field.
Experience: Typically 3-8 years in data engineering, integration, ETL/ELT, software or cloud data platforms.
Core competencies: SQL and programming, Data pipelines, APIs and integration, Cloud/data platforms, Testing and observability, Security and quality controls
Preferred certifications
Preferred, but not mandatory:
- Google Cloud Professional Data Engineer or comparable cloud data credential
- CDMP Associate or Practitioner
Focus areas
SQL and programmingData pipelinesAPIs and integration
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