Data Engineer with experience to Python, Airflow, Databricks & SQL

📋 Description Own end-to-end data flows from requirements and architecture through implementation and production Design and build scalable batch and real-time data pipelines and lakehouse solutions with a focus Take responsibility to explore technologies to scale up the Data ecosystem to handle rapid Big Data Partner with Data Science to productionize ML/AI workloads and ensure smooth integration into Collaborate with cloud, DevOps, application, and client teams to deliver robust, secure, and Evaluate and adopt new technologies and patterns to evolve the data ecosystem as scale and 🎯 Requirements 3+ years of backend engineering work experience in production environments (Data-Intensive Systems B.Sc. / M.Sc. in Computer Science, Computer Engineering, or equivalent. Proficiency in Python; working proficiency in Scala. Strong experience with Big Data processing (Spark, Databricks) and event streaming (Kafka). Experience with orchestration and platform tooling such as Airflow; ability to build maintainable Strong expertise with at least one major cloud provider (Azure). 🎁 Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP)