Data Warehouse Specialist




Are you a data enthusiast with strong experience in data warehousing and data engineering? Do you have experience managing a data warehouse and integrating new data sources and ETL processes? Are you eager for an opportunity of learning more about performance-based marketing and E-commerce and contributing to the growth of our scale up company? If so, we have the perfect job opportunity for you.

Job Description:

  • Drive projects to improve our Data Warehouse and ETL processes using Microsoft Stack and Azure Cloud technologies.
  • Integrate new data sources into our Data Warehouse.
  • Be responsible for the maintenance and development of the SQL server data warehouse, including data quality, data pipeline integrations, new data source synchronizations, query optimizations, etc.
  • Develop practices for efficient design, deployment and documentation of our Business Intelligence environment.
  • Help migrating the current data architecture and pipelines into a Cloud-based Data Warehouse.
  • Manage and improve the data governance framework.
  • Develop control structures to ensure data quality and integrity.
  • Keep up to date with the state-of-the-art tools and technologies to drive improvements in Business Intelligence systems efficiency, process automations and reporting structures.
  • Maintain and improve the monitoring and refinement of data models and reports.
  • Keep up to date with the developments in the source systems and recommend opportunities for an enhanced Data Warehouse.


  • Bachelor or master's degree in Computer Science, Engineering, or any related field of study.
  • 3+ years of relevant work experience in Business Intelligence Development, Data engineering or Data warehousing.
  • Previous experience with data warehouse management. Experience with Microsoft SQL Server is a plus.
  • Strong knowledge of SQL, stored procedures and ETL processes.
  • Strong understanding of server maintenance tasks (performance optimization, indexing, backups, quality checks, etc.) and data governance.
  • Experience with Cloud-based environments (Azure, AWS, etc.).
  • Experience working with Azure Analysis Services and SSAS Tabular models is strongly preferred.
  • Being able to translate business needs into future-proof data models.
  • Knowledge in other programming languages as Python or R is a plus.
  • Self-motivated and comfortable operating in a rapidly changing environment.
  • Proactive attitude and eager to constantly improve yourself. You have a can-do mindset, take ownership and responsibilities and enjoy working with a diverse team of people.
  • Able to work both independently and as a part of a team.
  • Great attention to detail.

Click on apply now and find out moreā€¦

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