Data Engineer III

Experteer Overview In this role you will design and build data-powered infrastructure that supports analytics, product features, and machine learning. You’ll develop internal tools, pipelines, and APIs to enable scalable data processing and reliable data delivery across the organization. You’ll work closely with product and engineering teams to make the data stack seamless and delightful to use. This is a remote-first, collaborative environment focused on building a high-performance payments platform for merchants. Pay / Benefits * Build and maintain internal tools, pipelines, and APIs that support analytics, product features, and machine learning applications * Design clean, reliable data systems and transformations that scale with the business * Collaborate with product and engineering teams to improve data infrastructure and workflows * Handle batch and streaming data pipelines, including CDC pipelines * Work across cloud and data ecosystems to ensure robust observability, testing, and deployment * Implement CI/CD, automated testing, and containerisation practices across data projects Tasks * Strong software engineering fundamentals (testing, code reviews, clean abstractions) * Proficient in Python and SQL * Experience building and maintaining batch and/or streaming data pipelines * Familiarity with Snowflake and data transformation tools like dbt * Comfort navigating cloud-native ecosystems (AWS, K8s, Terraform) * Experience with relational and non-relational data stores (e.g. CockroachDB, DynamoDB, Elasticsearch) Key requirements * remote-first and globally distributed * competitive share options * uncapped holidays (minimum 25 days) * co-working space access * workations & company retreat * private medical insurance

Experteer Overview In this role you will design and build data-powered infrastructure that supports analytics, product features, and machine learning. You’ll develop internal tools, pipelines, and APIs to enable scalable data processing and reliable data delivery across the organization. You’ll work closely with product and engineering teams to make the data stack seamless and delightful to use. This is a remote-first, collaborative environment focused on building a high-performance payments platform for merchants. Pay / Benefits * Build and maintain internal tools, pipelines, and APIs that support analytics, product features, and machine learning applications * Design clean, reliable data systems and transformations that scale with the business * Collaborate with product and engineering teams to improve data infrastructure and workflows * Handle batch and streaming data pipelines, including CDC pipelines * Work across cloud and data ecosystems to ensure robust observability, aaaaaat _ and deployment * Implement CI/CD, automated testing, and containerisation practices across data projects Tasks * Strong software engineering fundamentals (testing, code reviews, clean abstractions) * Proficient in Python and SQL * Experience building and maintaining batch and/or streaming data pipelines * Familiarity with Snowflake and data transformation tools like dbt * Comfort navigating cloud-native ecosystems (AWS, K8s, Terraform) * Experience with relational and non-relational data stores (e.g. CockroachDB, DynamoDB, Elasticsearch) Key requirements * remote-first and globally distributed * competitive share options * uncapped holidays (minimum 25 days) * co-working space access * workations & company retreat * private medical insurance