SEARGIN IS HIRING!

As a dynamic multinational tech company operating in 50 countries, we drive innovation and create projects that shape the future and greatly enhance the quality of life. You will find our solutions in the space industry, supporting scientists in the development of cancer drugs, and implementing innovative technological solutions for industrial clients worldwide. These are just some of the areas in which we operate!

Currently, for the new Seargin project we are looking for Azure Data Engineer/BI Specialist.

Location: Remote from Poland/Spain

Form of employment: B2B

You will be responsible for the maintenance of solutions within Data Science and Data Engineering domains, implementing change requests in the BI area related to an evolving regulatory environment, business development and simplification initiatives, ensuring seamless collaboration and continuous support to the Data Science team.

Tasks:

• Maintain and monitor corporate Azure BI landscape, proactively identifying necessary actions and investigating potential improvements to ensure availability, integrity, performance and cost efficiency of company’s systems.
• Partner with the Data Science team and business owners to gather requirements for raised change requests.
• Design, develop, and implement approved changes within BI applications, data models and ETL flows.
• Develop and deliver changes in data solutions for Data Science team, leveraging the Azure BI landscape and Microsoft Fabric to address their analytical and operational needs.
• Ensure all implementation activities adhere to best practices, internal policies, and compliance requirements.
• Maintain comprehensive and up-to-date technical documentation.
• Transfer necessary knowledge to key users, promoting correct application usage and self-service of BI applications.
• Design and implement authorization models to ensure data security for sensitive and critical data and processes.
• Proactively identify and investigate potential improvements or innovations within the Data Science and Data Engineering areas.