Senior Data Engineer - MLabs - Application
MLabs
Autofill application
Save time by importing your resume in one of the following formats: .pdf, .doc, .docx, .odt, or .rtf.
* Required fields
Personal information
Clear
*****First name
*****Last name
Photo (Optional)
Choose file or drag and drop here
*****Resume
Choose file or drag and drop here
Cover letter (Optional)
*****Professional Experience: 5+ years of experience in data engineering or data infrastructure, with a proven track record of shipping and operating production-grade systems.
YES
NO
*****Technical Proficiency: Expert-level SQL skills and strong programming experience in Python or similar backend languages.
YES
NO
*****Modern Data Stack: Significant experience with tools such as Airflow, dbt, ClickHouse, BigQuery, Snowflake, or Athena.
YES
NO
*****Architectural Knowledge: Deep understanding of event-driven architectures and real-time/near real-time data processing.
YES
NO
*****AI Integration: Proficiency in using AI-assisted development tools and agents, maintaining high discipline in validating and productionizing generated code.
YES
NO
*****Reliability Mindset: Experience designing systems where data quality and observability are treated as first-class concerns.
YES
NO
*****Sector Expertise: Previous experience in Fintech, payments, or financial infrastructure (specifically reconciliation, settlement, or ledger reporting).
YES
NO
*****Industry Context: Exposure to Web3, blockchain, or crypto ecosystems (on-chain data or wallet analytics).
YES
NO
*****System Scale: Experience handling high-volume event data at scale within a fast-growing startup environment.
YES
NO
*****Languages: Familiarity with Rust is considered a strong plus.
YES
NO
*****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)