Zürich aber
Data Engineer
- 11 Juli 2025
- 100%
- Festanstellung
- Zürich aber
Job-Zusammenfassung
Als Data Engineer bei PRODYNA arbeitest du an innovativen Softwarelösungen. Nutze die Vorteile eines dynamischen und unterstützenden Arbeitsumfelds.
Aufgaben
- Du gestaltest moderne Datenplattformen für große Datenmengen.
- Planung und Implementierung von Backend-Services für Datenbereitstellung.
- Optimierung von Pipelines und Integration in Cloud-Plattformen.
Fähigkeiten
- Mehrjährige Erfahrung in Softwareentwicklung und Datenprojekten.
- Kenntnisse in Pipeline-Entwicklung und Datenintegration.
- Erfahrung mit SQL und mindestens einer Programmiersprache.
Ist das hilfreich?
Über den Job
Data Engineer
At PRODYNA we design, implement, and operate custom software applications for mid- to large-sized enterprises. We're committed to offering our customers innovative and future-proof solutions through digitalization and cloud computing strategies. As a member of the Cloud Native Computing Foundation (CNCF), we promote speed, agility, and scalability in software development.
Your tasks
As a Data Engineer, you'll be responsible for designing and conceptualizing modern data platforms capable of integrating and processing large volumes of data from systems at scale. Your responsibilities will include:
- Designing and conceptualizing modern data platforms for large-scale data integration and processing.
- Planning and implementing backend services using modern frameworks for data provisioning and utilization.
- Independently optimizing pipelines and integrating them into cloud platforms.
- Implementing tools and solutions to ensure data quality, data cleansing, and provision of aggregated data for analysis.
- Gathering and specifying requirements from our clients.
Your profile
- Several years of experience in software development, particularly in data-driven projects, data warehousing, or data platform construction.
- You are skilled in developing pipelines and data integration routes both on-premises and in the cloud (ETL/ELT, Azure Data Factory, DBT, stored procedures, or similar tools
- Familiarity with data modeling and experience with Data Vault, Data Mesh, Kimball, or Inmon methodologies.
- Proficiency in SQL and at least one programming language (e.g., Python, Scala).
- Experience with cloud platforms (e.g., Azure, AWS, or GCP).
- Strong analytical and problem-solving skills.
- Additional knowledge of data science or business intelligence (reporting tools) is an advantage
Nice to Have:
- Experience with Microsoft Fabric or understanding of the Fabric ecosystem.
- Knowledge of Delta Lake, Lakehouse architecture, and data mesh principles.
- Familiarity with CI/CD for data pipelines.
- Exposure to data cataloging tools (e.g., Purview, Alation).
- Understanding of privacy regulations (e.g., GDPR, CCPA).
Your benefits
- Employee education
- 25 vacation days
- Free hardware selection
- Private health insurance
- Health support and wellbeing
- Team events
- International network
- Fruits in the office
- Employee referral programm
