64 engineer English-speaking jobs in Subcarpathian Voivodeship

Manufacturing Systems Integration Engineer to lead and support projects developing, implementing, and improving manufacturing data systems in EMEA. Integrate production equipment with IT platforms and databases, develop data interfaces, and troubleshoot system issues.

Manufacturing Systems Integration Engineer to lead and support projects developing, implementing, and improving manufacturing data systems in EMEA. Integrate production equipment with IT platforms and databases, develop data interfaces, and troubleshoot system issues.

Manufacturing Systems Integration Engineer to lead and support projects developing, implementing, and improving manufacturing data systems in EMEA. Integrate production equipment with IT platforms and databases, develop data interfaces, and troubleshoot system issues.

Senior Engineer to design, develop, and maintain scalable IT architecture solutions across cloud and hybrid environments. Experience with Azure and GCP required, Microsoft technologies, and IT Security best practices. English C1 level required.

What you will be doing As a Senior Software Engineer, you will shape the core intelligence of GraphAware

Databricks Certifications (Data Engineer Professional). Experience with dbt.

Job description: Embark on a journey of continuous growth and advancement as a Backend Engineer, where

growth and smarter marketing through the best application of technology. ,[As a Marketing Data Cloud Engineer

THE WORK As an Embedded Software Engineer, you will contribute to building a future‑ready Software‑Defined

Professional Data Engineer), experience working in international distributed teams, experience applying

simple: Screening with recruiter (~45min) Technical interview with Hiring Manager and Enterprise Support Engineer

Designs, builds, and maintains cloud platform solutions using GCP. Develops and manages Infrastructure as Code (Terraform) for scalable environments. Builds and enhances CI/CD pipelines and supports migration activities.

Implement and support large-scale data pipeline migrations, validating performance and cost-efficiency. Contribute to a modern data processing stack, including streaming and batch processing platforms. Work with technologies like Flink, BigQuery, and Kubernetes.

Designs, implements, and maintains cloud-based data platforms (Databricks or Snowflake) using Infrastructure as Code and CI/CD tools. Configures cloud networking, enforces security best practices, and collaborates with Data Engineers.

Expert Python engineer wanted Do you have at least 5 years of programming experience, including at least

Senior Azure DevOps Engineer will support cloud migration initiatives, design and maintain CI/CD pipelines, manage Azure infrastructure, and automate provisioning. Requires 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering with strong Azure experience, including production environments and Azure DevOps CI/CD pipelines.

Senior Machine Learning Engineer will design, implement, and deploy machine learning models using Databricks. Responsibilities include collaborating with teams, optimizing models, and staying current on AI advancements. Requires a Bachelor's or Master's degree in a relevant field, 5+ years of experience in machine learning engineering, and 3+ years of Databricks experience.

Senior AWS Network Engineer will design, build, and maintain global network infrastructure across AWS regions. Responsibilities include implementing Cloud WAN, centralized egress architectures, and infrastructure as code using Terraform. Requires 5+ years of experience in network engineering with a focus on cloud solutions, expertise in AWS Cloud WAN, Terraform, and Network Firewall, and strong collaboration skills.

Senior GCP Data Engineer will design, implement, and migrate large-scale data pipelines to GCP, focusing on BigQuery. Responsibilities include building and maintaining data pipelines, ensuring performance, reliability, and cost efficiency, and contributing to the evolution of a modern data processing stack. Requires strong hands-on experience in Data Engineering, GCP expertise, particularly BigQuery, and proficiency in SQL and data processing frameworks.

Supports, maintains, and enhances Point of Sale (POS) solutions in a multi-brand retail environment. Integrates POS platforms with eCommerce, ERP, and CRM systems. Provides L2/L3 support for business-critical retail systems.