Data Architect

Vor 7 Tagen


Munich, Bayern, Deutschland Rivada Space Networks GmbH Vollzeit
About the Role

We are seeking a highly skilled Data Engineer to join our team at Rivada Space Networks GmbH. As a Data Engineer, you will play a crucial role in developing, implementing, and managing our data warehouse solutions, with a strong focus on Microsoft Fabrics Synapse.

Key Responsibilities
  • Design, develop, and maintain large-scale data warehouse solutions using Microsoft Fabrics Synapse
  • Develop and optimize data models and ETL processes (Extract, Transform, Load) to ensure data quality and integrity
  • Design, implement, and further develop data pipelines to integrate various data sources
  • Develop, operate, and monitor existing ETL processes to ensure data accuracy and performance
  • Collaborate with technical and non-technical team members to solve data-based challenges and drive business growth
  • Implement and manage data pipelines for integrating various data sources to support business decision-making
  • Perform performance tuning and optimizations to improve data processing and reduce latency
  • Develop and maintain documentation and best practices for data warehouse architecture to ensure consistency and scalability
Requirements
  • Completed studies in computer science, business informatics, data science, or a comparable field
  • At least 3 years of professional experience as a data engineer or in a similar position, preferably in the field of data warehousing and big data
  • Solid knowledge and experience with Microsoft Fabrics Synapse (formerly Azure Synapse Analytics) and other Microsoft Azure data solutions
  • Experience with big data and cloud technologies (Azure Synapse, Snowflake, DataBricks)
  • Experience in developing and managing ETL processes as well as with ETL tools
  • Strong SQL skills and experience with relational and non-relational databases
  • Proficiency in Python or R and experience with PySpark are required
  • Experience with comparable Microsoft tools is an advantage
  • Knowledge of data modeling and data governance
  • Strong analytical skills and a structured, solution-oriented approach
  • Good communication skills and the ability to convey complex technical issues clearly
  • Fluent in English, spoken and written
What We Offer

We offer a dynamic and innovative work environment where you will have the opportunity to work with a talented team of space enthusiasts. As a Data Engineer at Rivada Space Networks GmbH, you will have the chance to contribute to the development of a cutting-edge data warehouse solution that will support the growth of our business.

About Us

Rivada Space Networks GmbH is a leading provider of satellite-based connectivity solutions. We are deploying a global low-latency point-to-point connectivity network of LEO satellites, which will provide resellers and B2B customers with the ability to securely connect any two points on the globe with low latency and high bandwidth.



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