Data Engineer – Contractor

🕒 May 9

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myPOS

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🤝 B2B

🛍️ eCommerce

Fintech • B2B • eCommerce

myPOS is a European fintech company specializing in payment technologies and solutions for merchants. It offers a comprehensive range of services including point-of-sale solutions, mobile and virtual POS terminals, online payment services, and instant fund settlement without additional costs. myPOS provides free e-money merchant accounts and connected Business Visa cards, facilitating easy access to funds for businesses. Their innovative approach has earned them multiple awards in the payments industry, making them a key player in transforming how businesses handle transactions.

📋 Description

• Design, build, and operate scalable, reliable data pipelines and data infrastructure • Ensure high-quality data is accessible, trusted, and ready for analytics and data science • 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 (e.g., tuning Spark jobs, query optimization, partitioning strategies) • Ensure secure data handling and compliance with relevant data protection standards and internal policies • Contribute to documentation, standards, and continuous improvement of 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: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience) • 3+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets • Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies for ETL/ELT processes • Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud • Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments • Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

🏖️ Benefits

• Excellent compensation package • myPOS Academy for upskilling and training • Unlimited access to courses on LinkedIn Learning • Refer a friend bonus as we know that working with friends is fun • Teambuilding, social activities and networks on a multi-national level