Full Stack Engineer

NUTRICIA Zakłady Produkcyjne Sp. z o.o. is part of the Danone Group, a global leader in the food industry. In Poland, the group operates through four companies: Danone (fresh dairy products), Żywiec Zdrój (water and beverages), NUTRICIA (baby and toddler food), and NUTRICIA Medicine (medical nutrition). The organization has been recognized with awards such as Solid Employer in Poland, Opole Brand, and Business Leader in the Opole region. Danone NUTRICIA received a prestigious award from the World Economic Forum for its digital transformation efforts, being the first manufacturing company in Poland and the only one within the Danone Group worldwide to do so. The company focuses on teamwork within interdisciplinary teams, promoting safety, product quality, ecology, social responsibility, and well-being.

• 5+ years of experience in data engineering with strong Python programming skills.
• 5+ years of experience in full stack web development.
• Proficiency in SQL for complex data manipulation, optimization, and database design.
• Experience with containerization using Docker and Kubernetes.
• Proficiency in GitHub and GitHub Actions for CI/CD pipeline development and management.
• Hands-on experience with time-series databases such as InfluxDB or TimescaleDB.
• Experience with relational databases such as SQL Server, PostgreSQL, and similar database technologies.
• Experience building applications with Streamlit or similar Python web frameworks.
• Strong knowledge of HTML, CSS, and JavaScript, including experience with frameworks like React or Angular.
• Experience with Grafana for dashboard creation, alerting, and data visualization.
• Familiarity with the Databricks platform and Apache Spark for data processing and analytics workflows.
• Solid understanding of data modeling principles and ETL/ELT design patterns.
• Previous experience in solution development for manufacturing digitalization is a plus.
• Business-level English proficiency is required.

• Design and implement data pipelines and ETL processes using Python and SQL to process large-scale datasets.
• Develop and maintain time-series databases for efficient storage and querying of streaming and historical data.
• Build interactive data applications and dashboards for business users and stakeholders.
• Create real-time monitoring and visualization solutions, including alerting mechanisms.
• Utilize Databricks for advanced analytics, machine learning workflows, and large-scale data processing.
• Develop custom web interfaces using HTML, CSS, and JavaScript to complement data applications.
• Optimize database queries and data models for performance across various storage systems.
• Collaborate with data scientists and analysts to translate business requirements into technical solutions.
• Implement data quality monitoring and validation frameworks to ensure data reliability.

Wszystkie informacje o przetwarzaniu danych osobowych w tej rekrutacji znajdziesz w formularzu aplikacyjnym, po kliknięciu w przycisk "Aplikuj Teraz".