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myPOS

Data Engineer – Contractor

myPOS

Data Engineer designing and building reliable data pipelines for Fintech at myPOS. Creating scalable data architecture and ensuring data quality for business insights.

Posted 5/9/2026contractRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data pipelinesdata infrastructuredata architectureETLELTPythonSQLdata structuresMLOpsquery optimization
Soft Skills
collaborative mindsetclear communicationtroubleshooting mindset
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering