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)