Remote Data Scientist: Python/PySpark & Databricks ETL Lead

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

Zusammenfassung

ITech Consult AG in Zürich/Remote is seeking two Data Scientist x 2 (60-100% workload, 60-100%) to support ongoing data engineering activities within an IT Service Engineering environment. Start ASAP; duration until 31.03.2027 with potential extension.

You will build and maintain production-grade ETL/ELT data pipelines, trace data across enterprise systems, and ensure data quality and operational continuity in an agile team. Fluency in English required.

Qualifikationen

• Proven experience designing, developing, testing and operating production-grade ETL/ELT data pipelines.

Aufgaben

• Analyse data dependencies, processes, system interactions and source-of-truth concepts.
• Identify and trace data flows across multiple source and target systems.
• Investigate issues affecting system interfaces, data pipelines and downstream processes.
• Perform root-cause analysis and drive incidents through to resolution.
• Use Databricks, Python/PySpark and SQL for data analysis, validation and inconsistency detection.
• Develop, maintain and improve production-grade ETL/ELT data pipelines.
• Implement data validation, reconciliation, monitoring and quality controls.
• Follow established version-control, deployment, change and release procedures.
• Test, validate and document delivered solutions.
• Communicate findings, risks, dependencies and progress clearly to relevant stakeholders.
• Work collaboratively within an agile, cross-functional team and take ownership of assigned tasks.

Kenntnisse

Python

PySpark

SQL

Databricks

ETL/ELT

Git

CI/CD

REST APIs

Agile

Communication

Tools

Data pipelines

Jobbeschreibung

ITech Consult AG in Zürich/Remote is seeking two Data Scientist x 2 (60-100% workload, 60-100%) to support ongoing data engineering activities within an IT Service Engineering environment. Start ASAP; duration until 31.03.2027 with potential extension.

You will build and maintain production-grade ETL/ELT data pipelines, trace data across enterprise systems, and ensure data quality and operational continuity in an agile team. Fluency in English required.