Senior Data Engineer

Full-time (4 days, 35h/week) or Part-time (min 25h/week)
Linz, Austria

Your territory

As part of our Data team, you will:

  • Design and build secure, scalable and resilient end-to-end data architectures and solutions
  • Develop state-of-the-art data pipelines and streamline data transfer across platforms and databases
  • Create and develop solutions to monitor the health of data workflows and optimize performance and stability
  • Make sure data is stored in our environment in a clean, structured, secure and cost-efficient manner
  • Ensure accuracy and availability of application and business data
  • Implement data quality strategies
  • Gain access to external data and make it available for internal usage
  • Bring in your ideas and improvements to actively contribute to the company's success. You will never hear "…because we always did it like that" again.
  • Continuously develop yourself personally and professionally. You will take ownership of areas that strengthen your potential and you will be able to attend workshops to learn new skills according to your experience and interests.
Your profile
Key requirements:
  • Experience designing and delivering data solutions, including data pipelines, modelling and/or processing
  • Well-versed in the latest data engineering tools and tech, including ETL/ELT, SQL/NoSQL databases, data lake storage and DWH
  • Hands-on experience in stream and batch processing technologies like Apache Spark
  • Complex data structure handling know-how
  • Experience with Python and Pyspark
  • Experience with Apache Airflow is a plus
  • Ideally experience with AWS Cloud solutions like Amazon Glue, Amazon S3, DMS, Athena, Redshift Spectrum
  • Very good English skills

 

Does this sound like you?
  • Passionate about data
  • Meticulous and detail-oriented
  • Independent and well-structured
  • A relentless problem solver
  • Willing to come and work with our fantastic team in Austria

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