Data Modeler

Intelligenz IT; Zürich; Vor Ort; CHF 150.000 - 230.000; Vollzeit

Zusammenfassung

Intelligenz IT is seeking a senior data platform specialist in Zürich to design and implement data architectures, models and data-driven products. You will translate business requirements into technical specifications and lead data-modeling initiatives.

The role demands hands-on work with big data tools, data migration, and distributed query engines, plus data quality and governance, with Dataiku, Docker, Kubernetes, Airflow and BI dashboards.

Qualifikationen

• Extensive experience designing and implementing data architectures and data models.
• Proven ability to translate business requirements into data and engineering specs.
• Expert SQL skills across traditional DWH and distributed data environments.

Kenntnisse

Data architecture

Data modelling

Data engineering

Requirements translation

Solution architecture

Data migration

Big Data on-prem

Dataiku

SQL

Python scripting

Jupyter Notebooks

Tableau

Power BI

Agile/Scrum

Financial services data

Stakeholder management

Tools

Docker

Kubernetes

Presto/Trino

Hadoop

Hive

HBase

Spark

Solr

Tez

Kafka

Airflow

NiFi

Tableau

Power BI

Jobbeschreibung

What You’ll Bring:

• Strong experience in Data Architecture, Data Modelling & Data Engineering
• Experience translating business requirements into data and engineering specifications
• Hands‑on experience developing, coordinating and maintaining data models
• Experience with solution architecture, design and implementation of data‑driven products
• Strong experience in large‑scale data migration and Big Data on‑premise environments
• Experience integrating Data Science platforms such as Dataiku
• Strong hands‑on experience with Docker & Kubernetes
• Good knowledge of distributed query engines such as Presto / Trino
• Experience with Hadoop, Hive, HBase, Spark, Solr, Tez, Kafka
• Experience with orchestration tools such as Apache Airflow / NiFi
• Strong understanding of Data Quality standards, policies and processes
• Expert‑level SQL skills across traditional DWH and distributed data environments
• Python automation and troubleshooting experience using Jupyter Notebooks / common IDEs
• Experience preparing data for reporting, analytics and visualization using Tableau, Power BI or Python
• Knowledge of Agile methodologies – Scrum / SAFe
• Banking or Financial Services data experience is highly advantageous
• Excellent communication and stakeholder management skills