Aktuelle Jobs im Zusammenhang mit Data Solutions Engineer - Berlin, Berlin - Sonova

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    vor 4 Wochen


    Berlin, Berlin, Deutschland ML6 Vollzeit

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    vor 4 Wochen


    Berlin, Berlin, Deutschland ML6 Vollzeit

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    vor 2 Wochen


    Berlin, Berlin, Deutschland ML6 Vollzeit

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  • Data Engineer

    vor 2 Wochen


    Berlin, Berlin, Deutschland ML6 Vollzeit

    About the RoleWe're seeking a talented Data Engineer to join our team at ML6. As a Data Engineer, you'll play a crucial role in building scalable data pipelines and cloud infrastructure using a dynamic and cutting-edge tech stack.Key ResponsibilitiesDesign and implement data and cloud architecture to meet business needsBuild and deploy batch and streaming...

Data Solutions Engineer

vor 3 Monaten


Berlin, Berlin, Deutschland Sonova Vollzeit

Data Engineer Opportunity with Sonova's Data Analytics Team

As a Data Engineer within the Data Analytics team, you will be instrumental in aggregating essential data from diverse sources in a dependable and scalable fashion. Your contributions will be vital in the design and development of a global consumer data repository, ensuring the integrity, consistency, and usability of data.

Key Responsibilities:

  • Design and uphold data models for various applications, ensuring uniformity and quality across Sonova's group entities.
  • Assist in the creation of the consumer data repository utilizing Azure Infrastructure, collaborating with both internal and external stakeholders; facilitate the integration of new data sources.
  • Liaise with global BI and IT departments on engineering-related topics.
  • Document data workflows, sources, structures, and transformations comprehensively.
  • Collaborate closely with analysts to guarantee data accessibility, automate reporting processes, and disseminate best practices.

Candidate Profile:

  • Bachelor's, Master's, or Doctorate in IT, Mathematics, Science, or Engineering.
  • Over 3 years of experience in data engineering, particularly in constructing data pipelines.
  • Expertise in data lake and data warehouse architecture.
  • Proficient in SQL (PL/SQL) and Python programming.
  • Familiarity with data ETL processes from various origins.
  • Experience with both SQL and NoSQL database systems.
  • Knowledge of Microsoft Azure services, including Databricks, Data Factory, and Synapse Analytics.
  • Skilled in pipeline and workflow management tools.
  • Background in code versioning, review, and documentation practices.

What We Offer:
We provide a stimulating challenge, a variety of tasks, and more – an open corporate culture, flat hierarchies, training support, opportunities for advancement, a range of facilities, attractive benefits, and flexible working arrangements.