About The Position

As a Data Engineer, you will develop and optimize data pipelines and architectures that support Data & AI initiatives and enable models to deliver insights. You will help shape digital healthcare through data-driven innovation, building robust data solutions using cloud-native and Big Data technologies. The role involves designing scalable systems, supporting data needs across teams, applying CI/CD practices, and improving data-system performance, scalability, and security.

Requirements

  • At least 5 years of experience in data engineering, software development, or a related field, including expertise in ingesting and processing large datasets.
  • Hands-on experience with Azure public cloud platforms, including working knowledge of services such as Databricks or Apache Spark.
  • Skills in Big Data technologies such as Kafka or Flink, and SQL for analytics.
  • Proficiency in at least one programming language, such as Python, Scala, or Java.
  • Working experience with GitHub and DevOps.
  • Motivation to work in an innovative environment and learn and apply best practices for cloud-native systems and distributed architecture.

Responsibilities

  • Design and implement scalable, high-performing data pipelines and optimize the data architecture.
  • Build and deploy cloud-native solutions using Azure Data Services, Databricks, and other Big Data technologies.
  • Collaborate across teams to understand and support their data needs and ensure the data architecture supports current and future initiatives.
  • Apply CI/CD practices in Data Analytics projects to streamline development and deployment.
  • Continuously optimize performance, scalability, and security in data systems.

Benefits

  • Comprehensive onboarding program and welcome days.
  • Urban Sports Club membership package.
  • Anonymous, free access to professional psychological support through nilo.
  • Work-from-home arrangements, including up to 20 days per year from anywhere in the EU, when the job does not require office presence.
  • Support for individual development through internal and external training.
Š 2026 Teal Labs, Inc
Privacy PolicyTerms of Service