EU remote
Junior Data Engineer
About this role
About the role Data is undeniably one of the world's most valuable resources. However, it's futile if it's not in the right place or the right setup. We strive to place data where it's needed most and can be used to its fullest potential. Become a valued member of our data integration team and start your journey building scalable data architectures and fast data pipelines for our multinational clients. Our use cases range from data warehouse and lakehouse architecture implementations over IoT and data streaming setups to sophisticated AI scenarios, in industries ranging from manufacturing, consumer products, and healthcare to banking and insurance, just to name a few.
Your responsibilities You will support the team in designing, building, and maintaining data pipelines according to client business needs and embedding them end-to-end into the given data stack On this role, you will assist in maintaining and optimizing data infrastructure required for data extraction, transformation, and loading (ETL/ELT) from a wide variety of data sources As a junior Data Engineer, you will build, test, and deploy data artifacts on cloud platforms using modern version control best practices You will collaborate with senior engineers to ensure data accuracy, integrity, privacy, security, and compliance by applying data quality assurance methods Monitoring data pipeline performance and assisting in identifying opportunities for pipeline optimization In this role, you will work closely together with both reeeliance and client staff as part of an agile project team Our requirements Solid foundational knowledge of data modeling concepts and modern data warehousing architectures Proficiency in Python and strong SQL skills for querying and manipulating complex datasets Hands-on experience with Git for version control and collaborative development Practical exposure to or understanding of working within cloud environments (such as Azure or AWS) Eagerness to learn new ETL/ELT tools, cloud technologies, and software engineering practices Foundational understanding of a typical GenAI stack (LLMs, Vector Databases, frameworks like LangChain) Strong problem-solving attitude and an enthusiastic, proactive approach to learning Ability to work both independently on delegated tasks and collaboratively within agile project teams A university degree in Computer Science, Information Technology, or a related discipline (or equivalent practical experience) Articulate with impeccable verbal and written communication skills in German (C1 level) and English (B2 level).