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 responsibilitiesYou 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 stackOn 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 sourcesAs a junior Data Engineer, you will build, test, and deploy data artifacts on cloud platforms using modern version control best practicesYou will collaborate with senior engineers to ensure data accuracy, integrity, privacy, security, and compliance by applying data quality assurance methodsMonitoring data pipeline performance and assisting in identifying opportunities for pipeline optimizationIn this role, you will work closely together with both reeeliance and client staff as part of an agile project teamOur requirementsSolid foundational knowledge of data modeling concepts and modern data warehousing architecturesProficiency in Python and strong SQL.