Senior SW Engineer – AI Data Analytics

Nordic Semi; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

A leading technology firm in Kraków is seeking a Senior Data Analytics Engineer to build data infrastructure for AI initiatives. You'll design scalable data pipelines, optimize storage for AI/ML use cases, and work with cloud services. The ideal candidate has a degree in Computer Science, strong Python skills, and experience with big data technologies. The position offers a salary range of 22.000 PLN-31.000 PLN plus incentives, hybrid working, and medical insurance.

Benefits

State-of-the-art data technologies

Medical insurance

Family-friendly policies

Qualifications

• Strong programming skills in Python.
• Hands-on experience with big data technologies.
• Expertise in building data pipelines and ETL workflows.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Optimize data storage and retrieval for AI/ML use cases.
• Work closely with Development Teams to ensure data availability and quality.

Skills

Python

Big data technologies

SQL

NoSQL databases

ETL workflows

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Electronics

Tools

AWS

GCP

Azure

Job description

About the job

We are looking for a dedicated and skilled Senior Data Analytics Engineer to join our new team in Nordic. You will be responsible for building the data infrastructure and pipelines that empower our AI initiatives at Nordic Semiconductor. This role offers the opportunity to work with the latest data technologies and grow within a supportive and innovative environment.

Your initial area of expertise will be designing and implementing robust data architectures to support AI and machine learning solutions.

If you are passionate about data engineering and AI, and looking for a place to grow your career, apply now to join our forward-thinking team!

Key responsibilities

• Design, build, and maintain scalable data pipelines.
• Optimize data storage and retrieval for AI/ML use cases.
• Work closely with Development Teams to ensure data availability and quality.
• Implement ETL workflows and orchestration.
• Develop and manage cloud-based data infrastructure (AWS, GCP, or Azure).
• Ensure best practices in data governance, quality, and security.

Key Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Electronics or a related field.
• Strong programming skills in Python.
• Hands‑on experience with big data technologies.
• Expertise in building data pipelines and ETL workflows.
• Experience with cloud‑based data services.
• Solid knowledge of SQL and NoSQL databases.
• Familiarity with CI/CD practices for data workflows.

Personal Skills

The ideal candidate will have a detail‑oriented mindset, strong problem‑solving abilities, and a drive for excellence in data engineering. You should be collaborative, innovative, and passionate about building robust data systems. If you are enthusiastic about working with big data and AI technologies, we would love to hear from you.

Working for Nordic

Working at Nordic, you will be inspired and supported to develop yourself. Our teams enjoy a professional and informal working environment. We value and encourage the continuous development of skills and expertise to the highest levels. We are proud of our Norwegian heritage, our highly skilled international workforce, and our world‑leading innovation.

We offer a variety of tasks and projects, and the possibility to work alongside some of the world’s most renowned experts within their field. We encourage our employees to question the established and innovate while expecting professionalism, commitment, and the will to learn.

Benefits

• Opportunity to work with state‑of‑the‑art data technologies.
• Salary range 22.000 PLN-31.000 PLN plusshort- and long‑term incentive plan
• Hybrid work and flexible working hours
• Medical insurance
• Family‑friendly policies, insurances, and benefits

Practical details

• Location: Kraków, Poland

Please note that this position might be subject to a background check.