Data Engineer (Contractor)

myPOS; Warszawa; On-site; PLN 60,000 - 80,000; Full time

Benefits offered by this job

Excellent compensation package

myPOS Academy for upskilling

Unlimited access to LinkedIn Learning courses

Refer a friend bonus

Teambuilding and social activities

Job summary

myPOS in Warsaw, Poland is looking for a Data Engineer to transform the Fintech industry. You will design scalable data pipelines and infrastructure to enhance business insights, partnering across teams to deliver high-quality datasets for analytics.

Ideal candidates are experienced with Python, SQL, and cloud-based solutions. Join us for an opportunity to impact payment solutions globally!

Qualifications

• 3+ years of experience as a Data Engineer.
• Experience building and maintaining production-grade pipelines.
• Familiarity with one major cloud provider.

Responsibilities

• Design, build, and operate data pipelines.
• Develop scalable data architecture.
• Ensure secure data handling and compliance.

Skills

Python

SQL

Data pipeline construction

ETL/ELT optimization

Cloud solutions deployment

Troubleshooting

Collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Airflow

Databricks

GCP

AWS

Azure

Job description

At myPOS, we’re all about helping businesses grow and get paid. We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth. From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.

As we are expanding our team, we’re looking for Data Engineer to help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen!

About the role:

As a Data Engineer, you’ll design, build, and operate scalable, reliable data pipelines and data infrastructure. Your work will ensure high-quality data is accessible, trusted, and ready for analytics and data science - powering business insights and decision‑making across the company.

What you’ll do:

• 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 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: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

This role is perfect for you if you have:

• 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

Nice to have:

• Strong GCP experience and ecosystem knowledge: BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage
• Experience building reliable incremental data ingestion pipelines from DBs and APIs.
• Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
• Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
• Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards
• Experience building observability for data systems (metrics, alerting, data quality checks, incident response)
• Knowledge of model monitoring concepts: drift, data quality issues, performance degradation, bias checks, and alerting strategies

Why you should join myPOS:

• Vibrant international team operating in hi‑tech environment
• 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

Who we are:

Since 2014 we’ve been all about making payments easier and more accessible for businesses of all shapes and sizes. Whether you’re at the counter, selling online, or on the move, we’ve got businesses covered with smart, accessible and affordable solutions that keep things easy.

Our mission? It’s simple. Help businesses get paid by taking advantage of modern tech and innovative ideas, so payment challenges are a thing of the past.

myPOS is committed to providing equal employment opportunities. All qualified candidates will be considered for employment without discrimination based on age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, veteran status, race, religion, sex, sexual orientation, gender identity or expression or any other characteristic protected by applicable laws, regulations, and ordinances.

Your application will be confidentially reviewed in line with the General Data Protection Regulation (GDPR). Personal information will be used solely for the job application and will be stored for a period needed by the application process. Only short‑listed candidates will be contacted. Good luck!