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Data Engineer (m/w/d)

Nenzing, Bludenz💼 Full-time🗓 2025-07-23 → 2026-08-05

Core

Designing, developing, testing, and maintaining data storage architectures and automated data processes to prepare raw data for business units and create data access layers for analysts.

Role type

Data Engineer

Builds

Data storage architectures, automated data pipelines, and data access layers

Domain

Manufacturing (construction machinery) + Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Software development, Azure, Python, C#, SQL, Kafka, Spark, Relational database design, statistical methods, Machine Learning algorithms, Data Mining

Responsibilities

Design and maintain data storage architectures, implement automated data processes, prepare raw data for business units, create data access layers for analysts, collaborate with experts to expand system functionality, improve data reliability and efficiency, apply statistical and ML methods

Seniority

Mid-level, hands-on IC

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