Hybrid Data Engineer – all genders

Posted yesterday

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About the role

  • 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
  • Private medical insurance
  • Meal allowance

Job title

Data Engineer – all genders

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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