Senior Data Engineer – Contractor

🕒 4 days ago

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

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience • 6+ years of experience as a Data Engineer building and maintaining production-grade pipelines and datasets • Strong Python and SQL skills • Understanding of data structures, performance, and optimization strategies • Hands-on experience with orchestration tools such as Airflow, Dagster, or Databricks Workflows • Experience with distributed processing in a cloud environment • Experience with analytical data modeling, star and snowflake schemas, data warehouses, ETL/ELT patterns, and dimensional concepts • Experience building reliable incremental data ingestion pipelines from databases and APIs • Familiarity with at least one major cloud provider: GCP, AWS, or Azure • Familiarity with CI/CD for data pipelines, Infrastructure as Code such as Terraform, and/or DataOps practices • Ability to debug issues across data, infrastructure, pipelines, and deployments • Collaborative mindset and clear communication across engineering, analytics, and business stakeholders • Strong GCP experience and ecosystem knowledge is a nice-to-have • Experience with data governance concepts is a nice-to-have • Experience building observability for data systems is a nice-to-have • Knowledge of model monitoring concepts is a nice-to-have • CV must be submitted in English

🏖️ Benefits

• Excellent compensation package • myPOS Academy for upskilling and training • Unlimited access to courses on LinkedIn Learning • Refer a friend bonus • Teambuilding, social activities and networks on a multi-national level