Full Stack Engineer

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.

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, Postgre 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.

A revolutionary job that will be part of the digital transformation of global FMCG leader. We consider that it starts with people who notice more and make better decisions. And that’s exactly the kind of people we want to attract to DANONE.
We know that the future of business is IT and data. We are looking for catalysts for change. We ensure you work with great products, and technologies in an international environment, learning from experts and experienced managers but how much you will develop in this position depends on you!
We value smart working so that’s why while being focused on results, we offer flexible working hours and a home office policy. Want to move to Opole? OK! We have a relocation package to help you out!
On top of that, you will have access to the benefits we offer to you and your family, including private medical care, benefits package for parents, life insurance, social fund, or employee

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