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Senior Data Engineer — Cloud Pipelines & Analytics

Jobgether

Remote

EUR 70 000 - 90 000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A data solutions provider is seeking an experienced Data Engineer in Austria to design and manage scalable data pipelines and warehouse architectures. This role involves collaborating with cross-functional teams to ensure data quality and performance while adopting modern technologies. Key requirements include 7+ years of relevant experience and proficiency in SQL, Python, and cloud platforms such as AWS or Azure. The position offers a competitive salary, remote-first flexibility, and opportunities for professional growth.

Leistungen

Competitive salary
Flexible working arrangements
Professional growth opportunities
Supportive culture

Qualifikationen

  • 7+ years of experience in data warehousing, database administration, or database development.
  • 5+ years of experience as a Data Engineer using SQL and Python.
  • Strong knowledge of ELT/ETL tools and data integration frameworks.
  • Excellent English communication skills and ability to work effectively in distributed teams.

Aufgaben

  • Maintain, configure, and optimize the cloud‑based data warehouse platform.
  • Design and implement incremental and batch data integration pipelines.
  • Collaborate with teams for seamless data flow and accessibility.
  • Implement and maintain data security, auditing, and monitoring.

Kenntnisse

SQL
Python
Data Warehousing
Data Integration
ELT/ETL tools
Cloud Platforms
Docker
Kubernetes
Data Modeling
Performance Optimization

Tools

AWS
GCP
Azure
Snowflake
BigQuery
Redshift
Databricks
Airflow
DBT
REST APIs
Jobbeschreibung
A data solutions provider is seeking an experienced Data Engineer in Austria to design and manage scalable data pipelines and warehouse architectures. This role involves collaborating with cross-functional teams to ensure data quality and performance while adopting modern technologies. Key requirements include 7+ years of relevant experience and proficiency in SQL, Python, and cloud platforms such as AWS or Azure. The position offers a competitive salary, remote-first flexibility, and opportunities for professional growth.
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