As a (Senior) Data Engineer, you will be the driving force behind the development and optimization of our cloud-based data platforms. Working at the intersection of business and technology, you will ensure that our data solutions are not only technically excellent but also provide real business value to our customers.
Using state-of-the-art technologies, you will develop robust data pipelines, ETL processes, and high-performance data models that enable scalable and efficient data utilization. Your goal: turning data into a strategic asset that empowers companies to make smarter decisions.
Your Responsibilities
- Data Architecture & Development → Design and implementation of scalable data platforms using Microsoft Azure (Azure Data Lake, Azure SQL, Azure Synapse, Databricks)
- ETL & Data Processing → Building, optimizing, and maintaining high-performance data pipelines with Databricks, Spark, and Kafka
- Data Warehousing & Modeling → Developing robust data models and optimizing performance for efficient queries
- Automation & CI/CD → Implementing CI/CD pipelines to automate deployments and testing
- Collaboration with Business & Tech Teams → Close coordination with Data Scientists, Analytics Teams, and Business Stakeholders to develop data-driven solutions
- Best Practices & Scalability → Ensuring our data solutions are sustainable, maintainable, and future-proof