The Data Engineering Platform builds our internal data platform foundation and enables it to scale. As a platform team it builds components to enable engineers work with data efficiently in a standardized way. The Data, Analytics & AI department foresees opportunities to establish a platform where data can be easily found, is reliable and compliant and of high quality, while ensuring data availability.
This team is part of Data Analytics & AI department, together with other IT teams, in a highly multicultural environment, with engineers from all over the world. All teams work closely with product managers, lead engineers and tech architects.
Team’s vision
Team’s vision is to enable data and AI use cases for users to independently build and operate data products by providing standardized, opinionated tooling, clear abstractions, and guardrails for security, compliance, and cost. Some parts are already in place and it is expected from the new team member to help us figure out which components need to be added to build a reliable set of tools to serve data. This role is made for a highly driven Engineer with strong Kotlin and Java skills and thrives in the face of change and uncertainty.
The role
The Software Engineer will play a critical role in designing, developing, and maintaining robust data infrastructure to support a scalable and efficient internal data platform. You will design and deliver core data platform capabilities such as standardized ingestion frameworks, data quality and observability tooling, metadata and governance services, and enable data to be consumed by both analytical workloads and AI-driven applications.
The software engineer that the team needs is a software engineer who is eager to understand the complexity of creating tools used by hundreds of teams.
You combine your deep technical expertise with the ability to make complex concepts accessible to a diverse audience.
