Data Engineer — Flexible Hours, Global Data Platform

Medel S.r.l.; Innsbruck; On-site; EUR 43,000 - 53,000; Full time

Benefits offered by this job

Employee Discounts

Flexible Hours

Further Training

International Environment

Public-Transportation Subsidy

Workplace Well-Being

Job summary

MED-EL, Innsbruck, Austria, is seeking a skilled Data & Analytics Engineer to design and optimize scalable data pipelines. You will develop ETL/ELT processes, data models, and BI solutions while collaborating with stakeholders to deliver reliable data platforms.

You should have a Bachelor's degree plus 3+ years of experience, strong SQL and Python skills, and familiarity with Microsoft Fabric, Azure, Snowflake, and BI tools such as Power BI.

Qualifications

• Bachelor's degree or higher in Data Science, CS, or related field with 3+ years of experience.
• Strong SQL and solid Python for data engineering and automation.
• Experience with cloud data platforms and ETL/ELT development preferred.
• Experience with Power BI, Git, CI/CD, and Agile practices.

Responsibilities

• Design, build, and optimize scalable data pipelines from APIs, databases, and other sources.
• Develop ETL/ELT processes and data models to support analytics and BI.
• Collaborate with stakeholders to gather requirements and deliver reliable data solutions.
• Ensure scalability, performance, and reliability of the data platform.
• Support data users, contribute to data quality, and participate in CI/CD and code reviews.
• Maintain data governance and improve data architecture over time.

Skills

SQL

Python

ETL/ELT

Power BI

Git

CI/CD

Agile

English

Data modeling

Education

Bachelor's degree or higher (Data Science / CS)

Tools

Microsoft Fabric

Azure

Snowflake

SAP BDC

Job description

MED-EL, Innsbruck, Austria, is seeking a skilled Data & Analytics Engineer to design and optimize scalable data pipelines. You will develop ETL/ELT processes, data models, and BI solutions while collaborating with stakeholders to deliver reliable data platforms.

You should have a Bachelor's degree plus 3+ years of experience, strong SQL and Python skills, and familiarity with Microsoft Fabric, Azure, Snowflake, and BI tools such as Power BI.