Job Description

We’re looking for a Data Engineer who can handle both the operational side of data infrastructure – keeping pipelines healthy, debugging issues, tuning performance – and the architectural side of building event‑driven systems for AI‑powered products. You’ll work across different client projects, from supporting existing data stacks to designing new pipelines for real‑time behavioral analytics and machine learning workloads.

What are the main responsibilities of this role?

On some projects, you’ll be the person keeping the engine running: monitoring ingestion pipelines, triaging alerts, tuning warehouse performance, and ensuring scheduled jobs don’t break. On others, you’ll design and build new data infrastructure from scratch, creating event‑driven architectures, real‑time signal processing, and data models that power AI agents and ML pipelines. You’ll need to switch between these modes depending on what the project requires.

You operate independently once yo...

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