We arebuilding the connectivity layer that powers digital payments across the world's largest wallet network - already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture - and we need a senior engineer to help build it. The Role You'll design and operate the data platform behind a real-time, high-volume global payments network. Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business. What You'll Do Design and operate scalable, near real-time data pipelines across high-volume transaction flows Own data quality, monitoring, and observability for financial-grade systems Model transactional and ledger-style data - reconciliation, merchant reporting, and settlement tracking Build backend services that expose data to internal platforms and APIs Shape the platform architecture as requirements grow What You Bring 5+ years building and operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools - Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability to own systems end-to-end in a remote, async environment Preferred: Background in fintech, payments, or financial data - reconciliation, settlement, or ledger reporting Exposure to Web3, blockchain, or on-chain data ecosystems Rust experience or willingness to learn. We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems - the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment - not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.
29/05/2026
Full time
We arebuilding the connectivity layer that powers digital payments across the world's largest wallet network - already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture - and we need a senior engineer to help build it. The Role You'll design and operate the data platform behind a real-time, high-volume global payments network. Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business. What You'll Do Design and operate scalable, near real-time data pipelines across high-volume transaction flows Own data quality, monitoring, and observability for financial-grade systems Model transactional and ledger-style data - reconciliation, merchant reporting, and settlement tracking Build backend services that expose data to internal platforms and APIs Shape the platform architecture as requirements grow What You Bring 5+ years building and operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools - Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability to own systems end-to-end in a remote, async environment Preferred: Background in fintech, payments, or financial data - reconciliation, settlement, or ledger reporting Exposure to Web3, blockchain, or on-chain data ecosystems Rust experience or willingness to learn. We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems - the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment - not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.
We arebuilding the connectivity layer that powers digital payments across the world's largest wallet network - already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture - and we need a senior engineer to help build it. The Role You'll design and operate the data platform behind a real-time, high-volume global payments network. Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business. What You'll Do Design and operate scalable, near real-time data pipelines across high-volume transaction flows Own data quality, monitoring, and observability for financial-grade systems Model transactional and ledger-style data - reconciliation, merchant reporting, and settlement tracking Build backend services that expose data to internal platforms and APIs Shape the platform architecture as requirements grow What You Bring 5+ years building and operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools - Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability to own systems end-to-end in a remote, async environment Preferred: Background in fintech, payments, or financial data - reconciliation, settlement, or ledger reporting Exposure to Web3, blockchain, or on-chain data ecosystems Rust experience or willingness to learn. We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems - the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment - not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.
29/05/2026
Full time
We arebuilding the connectivity layer that powers digital payments across the world's largest wallet network - already embedded in platforms serving tens of millions of users across 120+ countries. As we scale our payments, data is becoming foundational to everything we do. This is the moment we move from MVP pipelines to production-grade architecture - and we need a senior engineer to help build it. The Role You'll design and operate the data platform behind a real-time, high-volume global payments network. Working closely with the Data Engineering Lead, you'll build event-driven pipelines, ensure data quality across critical financial workflows, and develop backend services that expose clean, reliable data across the business. What You'll Do Design and operate scalable, near real-time data pipelines across high-volume transaction flows Own data quality, monitoring, and observability for financial-grade systems Model transactional and ledger-style data - reconciliation, merchant reporting, and settlement tracking Build backend services that expose data to internal platforms and APIs Shape the platform architecture as requirements grow What You Bring 5+ years building and operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools - Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability, and monitoring Ability to own systems end-to-end in a remote, async environment Preferred: Background in fintech, payments, or financial data - reconciliation, settlement, or ledger reporting Exposure to Web3, blockchain, or on-chain data ecosystems Rust experience or willingness to learn. We are particularly interested in engineers who have cut their teeth in demanding fintech or payments ecosystems - the kind of environments where data correctness, transaction volume, and reliability are non-negotiable. You'll join at a pivotal moment - not inheriting a finished platform, but helping define one. If you're energised by building data infrastructure that genuinely matters at scale, this is your opportunity.