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MLabs logo

Senior Data Engineer

MLabs
Posted Jun 11, 2026, 9:24 PM UTC
🌍Europe🏠Remote📁Engineering & Development
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Location: Remote - Europe Remote | Full-time Compensation: $110K - $125K We are hiring on behalf of our client who is a premier infrastructure provider within the decentralized web (Web3) ecosystem, serving as the critical connectivity layer for tens of thousands of applications and millions of users globally. Having established a dominant market position, the organization is now expanding its horizons by launching a sophisticated payments solution. This new initiative enables merchants and payment providers to utilize blockchain rails for stablecoin checkouts, payouts, and deposits, already reaching millions of terminals worldwide through strategic global partnerships. The data systems supporting this infrastructure are foundational to the company's success. As the organization transitions from MVP pipelines to a scalable production architecture, there is a need for a Senior Data Engineer to join the team. This individual will help design and operate the data foundation behind a global payments network, ensuring that systems tracking wallet connections, transaction health, and financial reconciliations are as reliable as the payment flows themselves. This role sits at the intersection of data engineering and backend systems. The successful candidate will build event-driven pipelines, maintain real-time processing systems, and develop backend services that expose critical data to internal platforms and APIs. Key Responsibilities Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data. Evolution of the current architecture from MVP status to a high-availability production environment is a primary focus. 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. This includes building robust monitoring and alerting systems that meet the stringent reliability standards of financial infrastructure. Backend & API Development: Build and maintain backend services to expose data to internal platforms and downstream consumers, ensuring clean integration points for product and engineering teams. Operational Ownership: Own systems end-to-end, from initial deployment to ongoing monitoring and reliability. This includes contributing to engineering standards and operational playbooks within a remote-first, asynchronous environment.

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