Data Engineer

myPOS provides payment solutions for businesses of all sizes, offering multicurrency accounts and e-commerce tools to facilitate growth and simplify payment processes. The company focuses on leveraging modern technology to make payment acceptance accessible and efficient for merchants.

• Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations;
• Develop and evolve scalable data architecture to meet business and performance requirements;
• Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics;
• Implement best practices for data quality, testing, monitoring, lineage, and reliability;
• Optimize workflows for performance, cost, and scalability;
• Ensure secure data handling and compliance with relevant data protection standards and internal policies;
• Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes;
• Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices;
• Build and maintain MLOps automation, including CI/CD for ML, environment management, artifact handling, and versioning.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field;
• 3+ Years of experience as a Data Engineer building and maintaining production-grade pipelines and datasets;
• Proficiency in Python and SQL with an understanding of data structures, performance, and optimization strategies for ETL/ELT;
• Hands-on experience with orchestration tools and distributed processing in a cloud environment;
• Familiarity with at least one major cloud provider and deploying data solutions in the cloud;
• Strong troubleshooting mindset and ability to debug issues across data, infrastructure, pipelines, and deployments;
• Collaborative mindset and clear communication skills;
• Nice to have: Strong GCP experience, experience building incremental data ingestion pipelines, knowledge of analytical data modeling, familiarity with CI/CD, IaC, DataOps, data governance concepts, observability for data systems, and model monitoring concepts.

• Annual salary reviews, promotions, and performance bonuses;
• Access to myPOS Academy and unlimited LinkedIn Learning;
• Annual training and development budget;
• 9% Employer pension contribution;
• Health insurance, dental insurance, and group life assurance;
• Refer a friend bonus;
• Teambuilding and social activities.