SENIOR DEVOPS ENGINEER

Atos SE; Łódź; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible working model

Home office

International collaboration

Career growth programs

Job summary

Atos SE in Poland seeks a data & AI engineer to design and develop scalable cloud-based data platforms on Azure and Databricks, delivering Generative AI solutions across international teams.

You will build pipelines, data models and AI-powered apps, applying Lakehouse architectures, IaC, and CI/CD. The role offers flexible working and opportunities to grow within global Data & AI projects.

Qualifications

• 3–6 years of experience in cloud, data engineering or platform engineering.
• Hands-on experience with Azure, Azure Databricks and cloud-native services.
• Strong knowledge of Python, PySpark and SQL.
• Experience with ETL/ELT, Spark, Delta Lake and Lakehouse architectures.
• Understanding of Infrastructure as Code, CI/CD and cloud security principles.
• Interest in AI and Generative AI technologies.
• Knowledge of Terraform, MLflow or Databricks Genie is a plus.

Responsibilities

• Build and optimize data pipelines and Lakehouse solutions in Azure Databricks.
• Develop data models, integrations and analytics capabilities.
• Work with modern data architectures, including Lakehouse, Data Mesh and governed self-service analytics.
• Create AI-powered applications and Generative AI solutions.
• Automate cloud environments using Terraform and CI/CD pipelines.
• Apply security, governance and data quality best practices.
• Optimize solutions for performance, scalability and cost efficiency.
• Collaborate with business and technical stakeholders to deliver reliable, production-ready solutions.

Skills

Azure

Azure Databricks

Python

PySpark

SQL

ETL/ELT

Spark

Delta Lake

Lakehouse

CI/CD

Infrastructure as Code

Cloud security principles

Generative AI

Tools

Terraform

MLflow

Databricks Genie

AKS

Job description

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Build modern Data & AI solutions on Azure and Databricks

Join Atos and work on an international project supporting a global leader in the semiconductor industry. You'll design and develop scalable cloud-based data platforms and explore the latest Generative AI and AI Agent solutions using Microsoft Azure and Databricks, collaborating with experienced engineers across multiple countries.

Your solutions will help deliver trusted data, analytics and AI capabilities used across global engineering and business teams.

What you'll do

• Build and optimize data pipelines and Lakehouse solutions in Azure Databricks.
• Develop data models, integrations and analytics capabilities.
• Work with modern data architectures, including Lakehouse, Data Mesh and governed self-service analytics.
• Create AI-powered applications and Generative AI solutions.
• Automate cloud environments using Terraform and CI/CD pipelines.
• Apply security, governance and data quality best practices.
• Optimize solutions for performance, scalability and cost efficiency.
• Collaborate with business and technical stakeholders to deliver reliable, production-ready solutions.

What we are looking for

• 3-6 years of experience in cloud, data engineering or platform engineering.
• Hands-on experience with Azure, Azure Databricks and cloud-native services.
• Strong knowledge of Python, PySpark and SQL.
• Experience with ETL/ELT, Spark, Delta Lake and Lakehouse architectures.
• Understanding of Infrastructure as Code, CI/CD and cloud security principles.
• Interest in AI and Generative AI technologies.
• Strong problem-solving skills and ownership mindset.

Nice to have

• Experience with Terraform, MLflow or Databricks Genie.
• Knowledge of Azure Kubernetes Service (AKS).
• Exposure to MLOps practices.
• Azure, Databricks or HashiCorp certifications.

What we offer

• Work on enterprise-scale Data & AI platforms supporting one of the world's leading semiconductor companies.
• Access to the latest Azure, Databricks and Generative AI technologies.
• Learning platforms, technical communities and certification programs.
• Flexible working model, home office and international collaboration.
• Clear opportunities to grow your technical expertise and career within global Data & AI projects.

Ready to turn data into real business impact?

If you want to work with modern cloud technologies, solve complex engineering challenges and explore the latest AI innovations, we'd love to hear from you.