Senior Data Engineer
Tasks
- Automate CI CD and engineering best practices
- Build batch and streaming data pipelines
- Build scalable data products
- Collaborate with stakeholders on high value data opportunities
- Deliver data via APIs and customer facing platforms
- Ensure data quality, testing, and observability
- Implement rag frameworks
- Integrate LLM powered features into product workflows
- Maintain data platform on Databricks Azure and Airbyte
- Mentor junior engineers and promote engineering standards
- Package data for access and monetisation
- Support deployment and lifecycle management for data and AI systems
- Transform raw and third party data into enriched datasets
- Translate business requirements into data and AI solutions
Perks/Benefits
Skills/Tech-stack
AI Governance | APIs | Airbyte | Apache Spark | Azure | Azure OpenAI | CI/CD | Databricks | Embeddings | Git | Infrastructure as Code | LLMs | Langchain | PySpark | Python | RAG | SQL | Semantic Search | Terraform | Vector Databases | “as-code”
Education
N/A
Roles
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