Data Engineer (m/f/x) Tech roles (Operations) · Multiple locations · Hybrid Remote

Cloudflight; Amstetten; Hybrid; EUR 50 000 - 80 000; Vollzeit

Zusammenfassung

A leading company is seeking a Data Engineer to design and develop robust data solutions. In this hybrid role, you'll work on data warehouses, pipelines, and mentor others while leveraging cloud technologies. Fluency in German and English, along with a senior mindset, is essential for success.

Qualifikationen

• Senior mindset required.
• Fluency in German and English.
• Experience with data architecture patterns like star schema, medallion, snowflake schema, and data vault modelling.

Aufgaben

• Building, designing, and developing data warehouses and data lakes.
• Designing data pipelines and setting up CI/CD measures.
• Mentoring less experienced developers in data engineering.

Kenntnisse

Data Modelling

Data Management Concepts

Cloud Computing

Communication Skills

Planning Skills

Tools

Airflow

PySpark

Python

dbt

Databricks

Snowflake

Terraform

Pulumi

CloudFormation

Jobbeschreibung

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Data Engineer (m/f/x) Tech roles (Operations) · Multiple locations · Hybrid Remote, Amstetten

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Client:

Cloudflight

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

22cd91896f43

Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Your daily tasks will include:

• building, designing and developing data warehouses and data lakes
• designing and developing data pipelines
• setting up proper software development lifecycle measures (CI/CD, automated test and validation, version control)
• collaborating with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical solutions
• staying up to date with the latest trends and technologies in the data engineering field
• mentoring and guiding less experienced developers in the area of data engineering

The following will make you succeed in this role

• ️ a senior mindset
• ️ excellent communication and planning skills
• ️ proficiency in data modelling and very good understanding of data management concepts and their applications
• ️ understanding of data architecture patterns like star schema, medallion, snowflake schema and data vault modelling
• ️ hands on experience with
• Airflow, PySpark, Python, dbt, Databricks or Snowflake
• Cloud computing technologies and architectures
• deep – data engineering relevant - expertise in at least one of Azure Synapsis, Microsoft Fabric, AWS Redshift, GCP Big Query, GCP Dataflow
• ️ experience with Infrastructure as Code frameworks (. Terraform, Pulumi, CloudFormation)
• ️ fluency in German and English