About MIGx MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others. MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance. About the profile We are looking for a data enthusiast who likes to play with structured and unstructured data, organize it and create useful dashboards for taking insights and value for it. Project Description We are working in several projects building Power BI dashboards that are to be powered by multiple data sources. You will be part of a bigger team in MIGx responsible for the Data Services and building Data Products for our customers (mid to large size enterprises). You will have an opportunity to continue growing in the are of all things Data related. You will participate in building overall Data Mesh architecture for the customer while focusing on one specific visualization project and more upcoming. Responsibilities To define and build PowerBI semantic models, reports, and dashboards To configure and connect different data sources from PowerBI / MS Fabric. To use MS Fabric pipelines, data flows, and notebooks to import, transform, and load data. Manage access control through workspaces and reports permissions, as well as the implementation of RLS and OLS. To analyze data using SQL, Python/R, Excel and other tools. Requirements - Must have Proficiency in Data Analytics and Data Visualization concepts 3 years of practical experience with one of the reporting tools – Power BI (preferable). Skills in developing reports and dashboards Advanced SQL knowledge and background in relational databases (MS SQL Server, MySQL, PostgreSQL etc.) and columnar databases (MS Azure Synapse, Amazon Redshift, Snowflake, Google BigQuery etc.) Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart) Familiarity with Cloud technologies (Azure, AWS, GCP) Ability to work in an agile development environment (SCRUM, Kanban) Understanding of CI/CD principles and best practices Requirements - Nice to have Experience in building ETL (Extract, Transform and Load) pipelines and data flows Python programming skills Experience with Azure Data Factory Experience in the development of ML models Experience with ADLSgen2 Languages English – B2 / C1 What we offer: Hybrid work model and flexible working schedule that would suit night owls and early birds 25 holiday days per year Possibilities of career development and the opportunity to shape the company future An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged Different training programs to support your personal and professional development Work in a fast growing, international company Friendly atmosphere and supportive Management team