Data Integration Specialist (Dataiku Platform)

ITech Consult AG; Zürich; Vor Ort; CHF 90.000 - 130.000; Vollzeit

Zusammenfassung

ITech Consult AG is seeking a dedicated Data Engineer to join our client’s Data Engineering and Modelling team in Zürich. You will build Python plugins for Dataiku, integrate with Snowflake, Databricks, PowerBI, and various databases, and support business users with data-driven projects.

You will deploy solutions to production environments and contribute to broad adoption of Dataiku across the organization, leveraging your DevOps experience and strong-English communication.

Qualifikationen

• Bachelor's degree in CS/IT or related field.
• Strong Python skills with data-driven solution experience.
• Experience with Dataiku or similar platforms is a plus.
• Experience with Snowflake, Databricks, PowerBI, and data storage systems (SQL/NoSQL).
• Solid DevOps understanding, deployment, and production support.
• Excellent communication and English proficiency.

Aufgaben

• Develop Python plugins to extend Dataiku and integrate with internal systems and data sources.
• Integrate Dataiku with Snowflake, Databricks, PowerBI and data storage like MS SQL, Oracle, PostgreSQL, and Blob.
• Provide technical support and collaborate with internal stakeholders on data-driven projects.
• Deploy solutions and manage production integration.
• Help drive adoption of Dataiku across the organization.

Kenntnisse

Python

Data integration

Data modeling

DevOps practices

Dataiku

SQL

Communication

English

Ausbildung

Bachelor's degree in CS/IT or related

Tools

Snowflake

Databricks

PowerBI

MS SQL

PostgreSQL

Oracle

Azure/Cloud

Jobbeschreibung

ITech Consult AG is seeking a dedicated Data Engineer to join our client’s Data Engineering and Modelling team in Zürich. You will build Python plugins for Dataiku, integrate with Snowflake, Databricks, PowerBI, and various databases, and support business users with data-driven projects.

You will deploy solutions to production environments and contribute to broad adoption of Dataiku across the organization, leveraging your DevOps experience and strong-English communication.