Senior Data Engineer (SRE)

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Job Description We are looking for a Senior Data Engineer (SRE) who builds things — AI agents, automations, and tools that keep our enterprise data pipelines running at scale. If you write production-quality code and are excited by the challenge of building AI-powered systems, we want to hear from you. Key responsibilities Build LLM-enabled AI agents that detect, classify, and diagnose issues in data pipelines — replacing manual investigation with automated reasoning and self-healing workflows. Collaborate with engineering teams to embed observability, reliability, and resilience from design through to production — not add it after things break. Build proactive data quality systems — automated checks that validate data as it flows through pipelines, catching issues before they reach consumers. Build logging and monitoring tooling that automatically surfaces issues before they impact downstream users — making failures visible and debuggable. Investigate failures, identify root causes, and turn learnings into better systems. Job Qualifications 4+ years of experience in Software Engineering or Data Engineering. Experience building ETL/ELT data pipelines. Strong software development skills in Python — you write production-quality code. Practical experience building with LLMs or AI agents; you have shipped something that uses generative AI in a production or near-production context. Working knowledge of cloud services (Azure preferred), including Infrastructure as a Code (e.g. Te

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