Senior Full-Stack Engineer | Industrial IoT & AI

Heidelberg Materials

Poland

On-site

PLN 210,000 - 290,000

Full time

14 days+

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Benefits offered by this job

Private medical care

Multisport card

Holiday and children's summer camp

Culture and sport subsidies

Fresh fruit at work

Annual Bonus

Job summary

Heidelberg Materials is seeking a Senior Full Stack Software Engineer for its Digital Hub in Wrocław, Poland. You will join a team delivering industrial IoT applications that collect sensor data from production plants and provide reporting locally.

You will write clean code in Python and Typescript, work with Grafana, Elastic Stack, and CI/CD pipelines, and collaborate with product owners to modernize legacy systems while leveraging AI to boost productivity.

Qualifications

5+ years of experience with Python.
3+ years of experience with frontend technologies such as Typescript, Angular, React.
3+ experience with Grafana, Apache eCharts.
Experience with relational databases (Postgres, Microsoft SQL or similar).
Experience in Elastic Stack (Elastic Search).
Strong analytical and problem-solving skills.
Experience with Ansible and GitLab.
Experience in current software architecture patterns and technologies e.g., CI/CD, automated E2E testing, TDD, Docker.
Experience in development of industrial/IIoT related applications.
Experience in maintaining and refactoring critical legacy systems.
Proficient in AI-assisted development with strong prompt engineering and cost-awareness.

Responsibilities

Write clean, reliable code and act as a technical role model within the team.
Work with different frameworks in Python, Typescript/JS.
Convert design drafts, mockups and textual descriptions into working UIs, applications.
Advocate consistency and best practices in our code and architecture. Promote and follow the existing internal guidelines.
Work together with stakeholders, product owners and other team members from various technical backgrounds to deliver high-quality solutions that help improve our business.
Map business processes to data models or algorithms.
Be pro-active, persistent, and eager to deliver a great solution for a given problem.
Consistently leverage AI in daily software development activities to improve productivity, accelerate delivery, and enhance solution quality in a cost-effective manner.