Data Architect/ Data Modeller

Infinity Quest; Zürich; Vor Ort; CHF 150.000 - 210.000; Vollzeit

Zusammenfassung

Infinity Quest is seeking a Senior Data Integration Developer to design and implement data solutions that improve the quality of enterprise data assets in a complex financial services environment.

You will collaborate with Data Analysts and Data Modelers, translate business requirements into data specifications, and promote standards for Data Architecture, Modeling, and Data Security across the data platform. Strong experience with big data tools and containerized tech is required.

Qualifikationen

• 5–10 years of experience in Data Architecture or Data Engineering.
• Experience in solution architecture and data-driven product delivery.
• Proven ability to manage stakeholders across diverse organizations.
• Experience with large-scale data migration in on-premise environments.
• Hands-on with Data Science workbenches like Dataiku.
• Proficient with containerized tech: Docker and Kubernetes.

Aufgaben

• Design and implement data integration solutions to improve data quality.
• Translate business requirements into data/engineering specs.
• Develop end-to-end data pipelines from enterprise reporting to data science.
• Promote data platform standards and governance.
• Collaborate with analysts, modelers, and engineers.

Kenntnisse

Strong Python skills

Expert SQL skills

Excellent English communication

German knowledge beneficial

Tools

Presto/Trino

Hadoop

Hive

HBase

Spark

Solr

Tez

Kafka

Airflow

NiFi

Tableau

Power BI

Docker

Kubernetes

Dataiku

Jobbeschreibung

• Senior Data Integration Developer responsible for designing technology solutions to integrate and improve the quality of enterprise data assets.
• Work closely with Data Analysts and Data Modelers.
• Develop, coordinate, and implement principles, guidelines, and standards related to Data Architecture, Data Modeling, and Data Security.
• Translate business requirements into data and engineering specifications.
• Implement and promote Data Platform and transformative data processes and services.
• Cover end-to-end data pipelines, from enterprise reporting to data science.

Experience:

• At least 5-10 years of professional experience in Data Architecture or Data Engineering.
• Experience in solution architecture, solution conception, implementation, and introducing data-driven products and services.
• Experience managing stakeholders across heterogeneous business and technology organizations.
• Experience in development, coordination, and maintenance of data models.
• Experience with large-scale data migration projects involving Big Data on-premise architecture.
• Hands-on experience integrating Data Science Workbenches, such as Dataiku.
• Extensive experience with containerized technologies, including Docker and Kubernetes.

Skills:

• Good working knowledge of Presto / Trino and distributed querying.
• Strong experience with Apache Big Data technologies such as Hadoop, Hive, HBase, Spark, Solr, Tez, and Kafka.
• Experience with job orchestration tools such as Airflow or NiFi.
• Experience defining and documenting Data Quality standards, policies, and processes.
• Expert-level SQL skills across classic DWH and distributed environments.
• Strong Python skills for automation and troubleshooting, including Jupyter Notebooks or common IDEs.
• Experience with data preparation, reporting, analytics, and visualization using Tableau, Power BI, or Python.
• Knowledge of Agile methodologies such as Scrum and SAFe.
• Knowledge of Banking data products / Financial Services.
• Good knowledge of German is beneficial; excellent English communication is essential.