Senior Data Engineer BI & Analytics - 100%
Role details
Job location
Tech stack
Job description
various source systems-including SAP ERP and cloud-based SaaS platforms - into our Snowflake data warehouseTranslate business requirements into technical solutions, understanding the full business context and how data flows across systemsBuild transformation logic in dbt, creating modular, testable, and well-documented models that support analytics and reportingModel data using best practices (star/snowflake schema), ensuring clarity, consistency, and performance across the BI landscapeCollaborate with BI analysts and business stakeholders to ensure data models reflect real-world processes and support decision-makingExtend and optimize our data integration framework, focusing on scalability, reusability, and automationDebug, optimize, and refactor existing pipelines, ensuring reliability and performanceImplement automated testing and data quality checks to maintain trust in our data assetsQualificationsSolid experience with data warehouse and lake architecture using Snowflake and Azure
Requirements
Data Lake StorageStrong command of data modeling techniques (e.g. Inmon, Kimball, Data Vault etc.).Deep expertise in dbt, SQL, and Snowflake (or similar cloud data platforms)Strong understanding of data architecture, ETL/ELT design, and data warehouse principlesAbility to grasp complex business processes and translate them into clean, scalable data models.Data Ingestion & Processing (Azure Data Factory, Functions / Batch Ingestion, Stream Analytics etc)Experience with DevOps (CI/CD, version control, testing automation, workflow orchestration)Proactive mindset, strong problem-solving skills, and the ability to work independently and lead technical initiatives.Additional Informationmedmix is an equal opportunity employer, committed to the strength of a diverse workforce. 93% of our employees would go above and beyond to deliver results - do you have the drive to succeed? Join us and boost your career, starting today!