We are looking for a Data Engineer.
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Monitor and optimize our (teams) cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.

We are looking for a Senior Data Engineer (EMEA).
As a Senior Data Engineer, youll join our data engineering team, working alongside AI engineers, data scientists, backend engineers, analysts, and the BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance us as a data-driven company.
Youll collaborate with different departments to identify data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.
Responsibilities:
End-to-end development of company data infrastructure
Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
Build and design data platform components to enable clients to produce and consume data
Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
Build and design self-serve components that can speed up the development cycle and time to market
Research and implement best practices and new approaches to our current data stack and systems
Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems