Data Engineer designing and implementing data foundations for automation and AI solutions at RHI Magnesita. Collaborating with technical experts and ensuring data quality with occasional project-based travel.
Responsibilities
Designing, building, and maintaining data pipelines and ETL processes (SQL, Python) with Databricks
Collaborating with technical experts, such as data and AI engineers, product owners and UX designers to ensure your data models seamlessly feed into the overall solution
Ensuring data quality, governance, privacy, consistency, and usability across systems
Collaborating with colleagues on automation and analytics solutions by providing resilient and well-structured data foundations
Requirements
Bachelor’s or master’s degree in business informatics, computer science, data analytics, or any related field
Few years of experience in ETL processes and data modeling
Proficient in SQL, Python, and database design
Solid understanding of data warehousing and ERP structures (SAP, o9)
Languages: English – proficient/fluent
Good to have: Knowledge of API integration (YAML, JSON), automation tools (Power Automate, UI Path, n8n), visualization tools (Power BI), and AI advancements
Benefits
A permanent contract
Flexible working hours for a healthy work-life balance and the possibility of up to 85% home office
In-house training programs and unlimited access to LinkedIn Learning
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