Data Products Development and Deployment: Recognize opportunities, design, build, and maintain custom data products (incl. dataflow automations) using PowerBI, Python and other Microsoft Technologies to address specific business requirements and Client needs.
Data Modelling: Design and create data models to address specific business requirements.
Project Management: Manage data products delivery process by supporting junior experts work.
Integration: Utilize Microsoft services such as SharePoint, Azure Services (incl. DataBricks) and third-party applications in data products development.
Support and Maintenance: Provide ongoing support, troubleshooting, and optimization of Data Products.
Team Management: support and accelerate junior experts development.
Collaboration: Work closely with various business departments and business analysts, to understand requirements and to deliver effective solutions.
Training and Documentation: Develop and deliver training sessions for end-users and create comprehensive documentation for solutions.
requirements-expected :
fluent spoken and written English;
excellent PowerBI knowledge (including DAX);
advanced Python knowledge;
strong understanding of data modelling, database design, and SQL;
experience with cloud services (incl. Microsoft Azure, DataBricks);
a strong interest in cutting-edge technologies, particularly in AI;
exceptional analytical and conceptual skills, with the ability to design and clearly articulate complex solution;
high problem-solving skills and ability to work individually or in a team;
effective communication skills to interface with stakeholders and end-users.
offered :
Hybrid model of work;
Private healthcare with rehabilitation, additional days off for parents (6 days a year), cafeteria programme and other benefits;
Internal training program;
Job in a company that cares about the sustainable development of the organization;
Working in a company with the title of Best Employer 2017 and 2019 awarded by Kincentric (formerly AON) and Investor in Human Capital 2019, 2021, 2022 and 2023.
