
Data Engineer, Platform
Posted 23 hours ago

Posted 23 hours ago
This is a fully remote position, open to applicants in Switzerland.
• Design, manage, and enhance data pipelines for advanced data and analytics platforms.
• Develop and refine ETL/ELT processes utilizing SQL, Python, dbt, and Apache Spark.
• Construct, automate, and oversee data workflows using Apache Airflow.
• Assist in the creation and maintenance of platform components, emphasizing scalability, stability, and reusability.
• Collaborate closely with data scientists, business stakeholders, and architecture teams to produce high-quality data products.
• Ensure data integrity, performance, and governance throughout the platform.
• Contribute to the continuous evolution of platform architecture and the assimilation of new technologies and services.
• Facilitate automation and DevOps efforts within the data platform ecosystem.
• Several years of experience as a Data Engineer, showcasing a strong interest in Platform Engineering.
• Comprehensive expertise in Python, SQL, Apache Spark, dbt, and Apache Airflow.
• Proven experience in designing, building, and managing modern data platforms and data architectures.
• Familiarity with data modeling, data engineering best practices, and scalable data processing solutions.
• Experience with DevOps principles and automated deployment processes is advantageous.
• Knowledge of Kubernetes, Starburst, or Trino is a plus.
• Organized, analytical, and self-directed work style, paired with a strong solution-oriented approach.
• Excellent communication skills and a passion for working collaboratively in interdisciplinary teams.
• Proficiency in both German and English.
• Experience in building and managing enterprise data platforms is beneficial.
• Familiarity with data science and analytics platforms is an advantage.
• Experience in regulated environments or data-driven organizations is a plus.
• Understanding of cloud-native architectures and contemporary platform concepts is advantageous.
• Fixed-term employment contract.
• Available to start as soon as possible.
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