Senior Data Engineer — Build Scalable Data Pipelines

Tieto Deutschland GmbH; Linz; Hybrid; EUR 40,000 - 48,000; Full time

Benefits offered by this job

Laptop & phone for private use

Health programs

Team events

Public transport benefits

Food vouchers

KlimaTicket subsidy

Fresh fruits

Job summary

TietoTech Consulting is hiring a Senior Data Engineer to design and implement scalable data platforms and pipelines. You will collaborate with cross-functional teams, ensure data governance, and optimize data workflows using modern frameworks such as Databricks and Microsoft Fabric.

Fluency in German and English, plus 5+ years in data engineering, are required. The role supports a flexible hybrid work model across Austria and Germany, with competitive benefits and growth opportunities.

Qualifications

• 5+ years designing scalable data solutions and data integration interfaces.
• Strong data modeling skills (dimensional, normalization/denormalization).
• Experience with cloud platforms (Azure preferred; AWS/GCP welcome) and Databricks/Microsoft Fabric.
• Proficient in Python and SQL; able to translate complex concepts for stakeholders.

Responsibilities

• Design, build, and maintain scalable data platforms and governance concepts.
• Implement and optimize data pipelines using modern frameworks like Databricks.
• Manage CI/CD pipelines, containerization, and orchestration.
• Act as trusted technical advisor for customers and cross-functional teams.
• Ensure performance, scalability, and reliability of data workflows.
• Stay updated with data engineering trends and apply innovative approaches.

Skills

Data engineering

Python

SQL

German (C1)

English

Tools

Databricks

Microsoft Fabric

Job description

TietoTech Consulting is hiring a Senior Data Engineer to design and implement scalable data platforms and pipelines. You will collaborate with cross-functional teams, ensure data governance, and optimize data workflows using modern frameworks such as Databricks and Microsoft Fabric.

Fluency in German and English, plus 5+ years in data engineering, are required. The role supports a flexible hybrid work model across Austria and Germany, with competitive benefits and growth opportunities.