Senior Data Engineer

💻 100% remote
📍 Location: Poland
📅 Full-time engagement (long-term cooperation preferred)

Join a team that builds modern data platforms for global organizations

We are an IT services company specializing in designing and delivering advanced data and cloud solutions for enterprise clients worldwide. Our teams help organizations transform data into business value through scalable platforms, automation, and modern analytics ecosystems.

What makes us different?

👉 A team of experienced consultants and engineers working on complex, international projects
👉 Real ownership of cloud, data, and MLOps environments
👉 Focus on innovation, automation, and engineering best practices
👉 Collaborative culture built on knowledge sharing and continuous improvement

Join Infinite Services and help shape modern data ecosystems that empower analytics, machine learning, and business decision-making. You'll work with cutting-edge technologies while enjoying flexibility, autonomy, and a healthy work-life balance.

About The Role

We are looking for an experienced Senior Data Platform Engineer to join a strategic project focused on building and maintaining a modern cloud-based data platform.

In this role, you'll combine expertise in Data Engineering, Cloud Infrastructure, and MLOps to support the full lifecycle of data solutions - from architecture and development to deployment, optimization, and operational excellence.

What you'll do

• Design and develop Data Warehouse solutions for storing business and operational data using Azure, Snowflake, Terraform (IaC), and SnowSQL

• Design, build, and maintain scalable ETL/ELT pipelines using Azure, Snowflake, Python, and SQL

• Design and manage hybrid cloud environments supporting Data Science and Analytics teams (Azure, VMware, Linux, Windows)

• Configure, administer, and maintain Apache Airflow environments using Python and Docker

• Deploy and support Machine Learning models in production environments

• Administer Azure DevOps and GitHub repositories, CI/CD processes, and development workflows

• Monitor, optimize, and improve the performance, scalability, and cost-efficiency of data platforms and cloud infrastructure

• Collaborate closely with Data Scientists, Data Engineers, Architects, and business stakeholders

• Drive automation, infrastructure-as-code practices, and operational excellence across the platform

What we're looking for

• 5+ years of experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or similar roles

• Strong hands-on experience with Azure cloud services

• Solid experience with Snowflake, including data modeling, optimization, and administration

• Proven experience designing and developing ETL/ELT pipelines using Python and SQL

• Experience with Infrastructure as Code, preferably Terraform

• Practical experience with Apache Airflow administration and orchestration of data workflows

• Experience supporting or deploying Machine Learning solutions into production environments

• Good understanding of CI/CD practices and experience with Azure DevOps and GitHub

• Experience managing Linux and Windows-based environments

• Strong troubleshooting and problem-solving skills

• Ability to work independently and communicate effectively in international teams

Nice to have

• Experience with MLOps frameworks and model lifecycle management

• Knowledge of containerization technologies and Kubernetes

• Experience working in hybrid cloud environments

• Familiarity with VMware administration

• Knowledge of FinOps and cloud cost optimization practices

• Experience supporting Data Science teams and analytical workloads

What's in it for you?

✨ Certification & training budget to support your growth
🏡 Flexible work model — remote or hybrid, your choice
🏥 Access to private medical care & sports card
📚 Additional learning and development opportunities
🤝 Supportive, knowledge-sharing environment with senior experts
🚀 Opportunity to work on impactful, international projects with modern technologies

Hiring process — simple & transparent

1. Quick HR call to get to know you

2. Technical interview with a Manager or Architect

3. Feedback & next steps