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Data Scientist

Wien,Innere Stadt, WIEN💼 Full-time💰 $4–$4🗓 2026-07-08 → 2026-09-15

Core

Leading and developing a Data Engineering team to build and operate scalable data pipelines.

Role type

Senior Data Engineering Team Lead

Builds

Scalable Databricks pipelines, Azure Data Factory orchestration, and integrated SQL/NoSQL data solutions

Domain

Data Engineering / Cloud Data Platforms

Deliverable

infrastructure

Required skills

Data Engineering, Team Leadership, Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, Azure Data Factory, Data Modeling, Performance Tuning, DataOps

Preferred skills

Product Ownership coordination, Standardization, Documentation, English (fluent), German (advantageous)

Technologies

Databricks, Python, Spark SQL, Azure Data Factory, SQL, NoSQL

Responsibilities

Leading and developing a Data Engineering team; Coordinating projects with Data Scientists, Engineers, and Product Owners; Building and operating scalable Databricks pipelines; Implementing standards, reusable templates, and documentation; Ensuring quality through versioning, testing, monitoring, and automated deployments; Managing pipeline costs and performance

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