The role involves owning end-to-end data flows from initial requirements and architecture through to production operations. The engineer will design and build scalable batch and real-time data pipelines alongside lakehouse solutions. Responsibilities include exploring new technologies to scale the data ecosystem to accommodate significant growth. The position requires partnering with data science teams to productionize machine learning and artificial intelligence workloads. Additionally, the role involves collaborating with various internal teams to deliver secure and scalable solutions that address business challenges.

Candidates must possess at least six years of backend engineering experience in production environments, specifically with data-intensive systems and distributed processing. A B.Sc. or M.Sc. in Computer Science, Computer Engineering, or an equivalent field is required. Applicants must demonstrate proficiency in Python and Scala, along with strong expertise in Big Data processing, event streaming, and cloud platforms. The role also requires proven experience in designing and owning production-grade data pipelines and strong English communication skills.