Senior Data Engineer

🕒 June 10

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MLabs

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🤖 Artificial Intelligence

💳 Fintech

Consulting • Artificial Intelligence • Fintech

MLabs is a consultancy firm specializing in Haskell, Rust, Blockchain, and AI technologies. They assist clients in setting up project specifications, implementation, management, and maintenance of technical projects across various sectors. MLabs has expertise in functional programming, compilers, AI, DevOps, and full-stack development, focusing primarily on industries such as Fintech and Information Technology.

📋 Description

• Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data. • Financial Data Modeling: Model and process complex transactional and ledger-style data to support financial reconciliation, merchant reporting, and settlement tracking. • Data Quality & Observability: Ensure the accuracy and freshness of data across critical workflows. • Backend & API Development: Build and maintain backend services to expose data to internal platforms and downstream consumers. • Operational Ownership: Own systems end-to-end, from initial deployment to ongoing monitoring and reliability.

🎯 Requirements

• Professional Experience: 5+ years of experience in data engineering or data infrastructure, with a proven track record of shipping and operating production-grade systems. • Technical Proficiency: Expert-level SQL skills and strong programming experience in Python or similar backend languages. • Modern Data Stack: Significant experience with tools such as Airflow, dbt, ClickHouse, BigQuery, Snowflake, or Athena. • Architectural Knowledge: Deep understanding of event-driven architectures and real-time/near real-time data processing. • AI Integration: Proficiency in using AI-assisted development tools and agents, maintaining high discipline in validating and productionizing generated code. • Reliability Mindset: Experience designing systems where data quality and observability are treated as first-class concerns. • Sector Expertise: Previous experience in Fintech, payments, or financial infrastructure (specifically reconciliation, settlement, or ledger reporting). • Industry Context: Exposure to Web3, blockchain, or crypto ecosystems (on-chain data or wallet analytics).

🏖️ Benefits

• Remote-First Culture: Fully remote position with a dedicated budget for home office setup. • Global Engagement: Opportunities for regular team offsites at international locations and travel to industry conferences. • Professional Growth: Meaningful Learning & Development budget to support continuous skill acquisition. • Comprehensive Leave: Generous Paid Time Off (PTO) and parental leave policies. • Competitive Package: Compensation includes salary and equity components. • Healthcare: Coverage provided for US-based team members.