Senior Data Engineer - MLabs - Application

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*****Professional Experience: 5+ years of experience in data engineering or data infrastructure, with a proven track record of shipping and operating production-grade systems.

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*****Technical Proficiency: Expert-level SQL skills and strong programming experience in Python or similar backend languages.

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*****Modern Data Stack: Significant experience with tools such as Airflow, dbt, ClickHouse, BigQuery, Snowflake, or Athena.

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*****Architectural Knowledge: Deep understanding of event-driven architectures and real-time/near real-time data processing.

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*****AI Integration: Proficiency in using AI-assisted development tools and agents, maintaining high discipline in validating and productionizing generated code.

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*****Reliability Mindset: Experience designing systems where data quality and observability are treated as first-class concerns.

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*****Sector Expertise: Previous experience in Fintech, payments, or financial infrastructure (specifically reconciliation, settlement, or ledger reporting).

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*****Industry Context: Exposure to Web3, blockchain, or crypto ecosystems (on-chain data or wallet analytics).

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*****System Scale: Experience handling high-volume event data at scale within a fast-growing startup environment.

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*****Languages: Familiarity with Rust is considered a strong plus.

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*****1) LinkedIn URL 2) Current Location 3) Expected salary in USD per year 4) Preference for remote/hybrid/on-site/no preference 5) Please confirm your work authorisation 6) Please confirm when you are available to start a new position (e.g 1 month notice)