Senior Data Engineer (m/k)

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SeniorFull-time
#325128·Dodano 20 dni temu·22
Źródło: Team Up Recruitment
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Tech Stack / Keywords

AIETLCloud

Firma i stanowisko

For our client – a global organization operating at the intersection of marketing, data, and technology, developing advanced data- and AI-driven solutions for leading international brands – we are looking for a Senior Data Engineer. This role involves working on international, data-driven projects focused on media performance analytics and building scalable data platforms.


Wymagania

  • 5–7+ years of experience in data engineering or a related field
  • Strong expertise in SQL and data engineering tools
  • Bachelor’s degree in Computer Science, Data Engineering, or a related field
  • Hands-on experience with cloud data platforms (e.g., BigQuery, Snowflake, AWS, or similar)
  • Experience with data pipeline automation tools
  • Strong analytical and problem-solving skills
  • Ability to communicate technical concepts to non-technical stakeholders
  • Experience with data visualization tools (beyond Power BI/Tableau is a plus)

Obowiązki

  • Design and develop automated data processing and reporting solutions
  • Build and maintain ETL pipelines integrating data from multiple sources into cloud data warehouses
  • Ensure data quality through validation processes and control mechanisms
  • Monitor data workflows and troubleshoot issues as they arise
  • Develop and maintain dashboards delivering actionable business insights
  • Collaborate with international teams and third-party data providers
  • Support data-driven decision-making by delivering reliable and well-structured data

Oferta

  • Opportunity to work on international projects with globally distributed teams
  • Exposure to modern data and AI-driven technologies
  • Access to learning platforms, certifications, and professional development programs
  • Private medical care, life insurance, and sports card
  • Funding for English language learning
  • Wellbeing initiatives, including mental health support
  • Hybrid working model (partially office-based)
  • Collaborative and inclusive international work environment
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