Senior Data Engineer with Google Cloud (GCP) (m/f/d)

The scope of work is extensive, challenging, and highly exciting.

If you are interested in working in a future-oriented and agile environment, then you’ve come to the right place.

You only need skills in cloud technologies, and don’t worry: we are also still learning in our new cloud environment. So there is nothing you cannot learn as well.

Náplň práce

• Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.
• Designs, builds, implementation and maintain the database structures to support business needs including integration of vendor database solutions into data environment.
• Contributes to the development of the capacity planning function to properly identify needed hardware, software, database configuration / architecture to support application / business needs.
• Manages the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities.
• Data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms including data mining.
• Works with data to solve business problems and build and maintain the infrastructure to answer questions with data.
• Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics.
• Oversees activities of the junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives.

Požiadavky

You will succeed if you:

• possess strong expertise in cloud technologies
• have solid knowledge of Python and PySpark
• bring experience in designing and engineering DWH/BI solutions, including data modelling
• understand data historization concepts and can apply them effectively
• have hands-on experience with DevOps practices
• are familiar with CI/CD processes
• can work with UML for system and process modelling
• have practical experience with agile delivery frameworks such as LeSS or Scrum
• demonstrate a collaborative, agile mindset suitable for cross-functional, interdisciplinary teams
• show strong analytical capabilities, including the ability to recognize complex dependencies and communicate them clearly
• can design and implement efficient processes for integrating and consolidating heterogeneous data sources