As a Data Engineer, you take an active role in challenging data and cloud projects. You don’t just focus on execution; you also contribute to the design of pipelines and architectures. Working closely with our senior engineers and consultants, you continue to develop yourself into a specialist. You are given the freedom to take ownership within projects. Your responsibilities include, among others:
- Translating business challenges into scalable, data-driven solutions.
- Independently building, optimizing, and maintaining data pipelines (batch and streaming), primarily in Azure.
- Working with a modern data stack such as Azure Databricks, PySpark, Azure Data Factory, Azure Data Lake, and orchestration tools.
- Designing and implementing Data Lake structures such as the medallion architecture (bronze/silver/gold).
- Applying containerization with Docker and setting up or managing CI/CD pipelines (e.g., GitHub Actions).
- Actively communicating with clients about project progress and technical decisions.
- Sharing knowledge and collaborating with senior data engineers and data consultants.
- Presenting your own solutions and results to clients.
- Attending events to expand your network and deepen your knowledge.