Advanced Data Engineer (AI)

TL;DR

Advanced Data Engineer (AI): Designing, implementing, and maintaining scalable data pipelines and data products for complex client environments with an accent on distributed data processing and cloud-native architectures. Focus on building robust, maintainable data solutions while collaborating with cross-functional teams of architects, software engineers, and data scientists.

Location: Schlieren, Switzerland. The role is hybrid, requiring presence in the office with flexibility for remote work.

Company

hirify.global is a global transformation partner and innovation specialist, founded in Switzerland in 1968, dedicated to helping clients build future-ready businesses through advanced engineering and digital solutions.

What you will do

• Act as a trusted advisor to clients, guiding them toward technical solutions for complex data challenges.
• Communicate technical solution architectures to both technical and non-technical stakeholders.
• Develop, test, and monitor distributed data processing pipelines for scalability and performance.
• Collaborate with architects and data scientists to ensure high-quality, reproducible datasets.
• Deliver projects using Agile methodologies to produce iterative business value from data.

Requirements

• Fluency in both German and English is required.
• University degree in computer science, software engineering, or data science.
• Minimum 3 years of experience in data or software engineering roles.
• Strong practical proficiency in Python and SQL.
• Experience with Cloud Data Platforms such as Databricks, Snowflake, or Microsoft Fabric.
• Experience with data architectures like Data Lakehouse, streaming, and batch processing.

Nice to have

• Hands-on experience with Apache Spark, Delta Lake, Kafka, and Airflow.
• Familiarity with containerization (Kubernetes) and IaC (Terraform).
• Knowledge of diverse data types including graph, time-series, and geospatial data.
• Experience in DevOps methodologies.

Culture & Benefits

• Flexible working hours with options for remote work.
• Participation in a profit share scheme based on company performance.
• Strong commitment to continuous professional development and training.
• Global community with annual team camps and inclusive company culture.
• Opportunity to work on complex, socially impactful projects across diverse industries.