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We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of “measuring outcomes, not hours”. Join us & see for yourself!
You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch. Your work will introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible.
You will adhere to and actively promote engineering best practices, data governance standards, and the use of open standards. Build data ingestion & processing pipelines. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics
Project
Compass BI
Project scope
Our client is a company that specialises in insurance, reinsurance, and asset management. It focuses on delivering scalable capital solutions that cater to various areas, including property, casualty, and speciality insurance lines.
Currently in its startup phase, it is actively strategising to enhance its operations and expand its service capabilities. A key aspect of their plans involves the adoption of modern technologies, which will enable the company to streamline processes and increase overall efficiency in their offerings through improved management of data. By leveraging modern technology, our client aims to position itself as a competitive player in the insurance industry while also addressing the evolving needs of its clients.
As part of this transformation, Virtuslab (VL) will accelerate progress on its roadmap and in building a modern data platform with scalable compute capabilities, enhance reporting and workflow automation, and embed cloud-native engineering practices.
Tech stack
Azure, Databricks, SQL, Python, Power Bi
Challenges
The project involves building a comprehensive reporting and analytics platform from the ground up. Key challenges include integrating data from multiple complex sources, ensuring high data quality and consistency, and designing scalable data models that support both operational and analytical reporting. It also requires close collaboration with business stakeholders to understand reporting needs and translate them into effective data solutions.
Team
The team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded.
A few perks of being with us
And a lot more!
What we expect in general
Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out!
We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of “measuring outcomes, not hours”. Join us & see for yourself!
You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch. Your work will introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible.
You will adhere to and actively promote engineering best practices, data governance standards, and the use of open standards. Build data ingestion & processing pipelines. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics
Project
Compass BI
Project scope
Our client is a company that specialises in insurance, reinsurance, and asset management. It focuses on delivering scalable capital solutions that cater to various areas, including property, casualty, and speciality insurance lines.
Currently in its startup phase, it is actively strategising to enhance its operations and expand its service capabilities. A key aspect of their plans involves the adoption of modern technologies, which will enable the company to streamline processes and increase overall efficiency in their offerings through improved management of data. By leveraging modern technology, our client aims to position itself as a competitive player in the insurance industry while also addressing the evolving needs of its clients.
As part of this transformation, Virtuslab (VL) will accelerate progress on its roadmap and in building a modern data platform with scalable compute capabilities, enhance reporting and workflow automation, and embed cloud-native engineering practices.
Tech stack
Azure, Databricks, SQL, Python, Power Bi
Challenges
The project involves building a comprehensive reporting and analytics platform from the ground up. Key challenges include integrating data from multiple complex sources, ensuring high data quality and consistency, and designing scalable data models that support both operational and analytical reporting. It also requires close collaboration with business stakeholders to understand reporting needs and translate them into effective data solutions.
Team
The team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded.
A few perks of being with us
And a lot more!
,[ Requirements: Python, Databricks, Snowflake, Data engineering, SQL, AWS, Azure, Apache Airflow, Data modelling, LLM, Cursor, Claude Code, dbt Additionally: Building tech community, Flexible hybrid work model, Home office reimbursement, Language lessons, MyBenefit points, Training Package, Virtusity / in-house training.