Data Engineer – Databricks/Azure

We are looking for a Data Engineer for an international project being carried out for an organization in the insurance sector. The project involves the construction and implementation of a solution supporting Solvency II regulatory reporting, including processes related to Pillar 1 and Pillar 3.

Daily tasks

• Construction, configuration, and implementation of the solution supporting Solvency II reporting.
• Configuration and deployment of Databricks in the Microsoft Azure environment.
• Preparation and configuration of the environment and platform on the Azure side.
• Design and implementation of data models and data ingestion processes.
• Construction and configuration of models, calculations, mappings, and business rules.
• Preparing data for Pillar 1 and Pillar 3 reporting processes.
• Collaboration on the creation of reports, analyses, and BI/MI outputs.
• Participation in the design of the technical solution and the detailed technical solution.
• Support for SIT, regression testing, and UAT/E2E tests.

Requirements

Practical, commercial experience working with Databricks. Experience with Microsoft Azure, particularly in configuring the environment and services needed to work with Databricks. Experience in the field of Data Engineering. Practical knowledge of data ingestion and data modeling. Experience in building and implementing data platform/data processing solutions. Ability to work with large datasets and prepare them for reporting purposes. Readiness to work on a project where Databricks is being implemented as a new platform, and the environment requires configuration from scratch. Good knowledge of the English language enabling work in an international environment.

Must have: Azure, Databricks