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# Data Engineer / ETL Developer

- **Company:** Fenion
- **Location:** Wien, Austria
- **Experience:** Experienced
- **Salary:** €50,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon S3, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), PostgreSQL, Standard Sql, SQL Databases, File Transfer Protocol (FTP), Data Ingestion, Build Tools, Network Server, Data Pipelines, Programming Languages
- **Published:** October 1, 2026
- **Apply:** https://www.studentjob.at/stellenangebote/8790405-data-engineer-etl-developer-m-f-x

## About the Role

* Technical University degree or proven comparable qualification.
 * Minimum 3 years of hands-on experience in maintenance/development of the ETL solutions
 * Passion for working with data in order to accurately model and analyze complex systems such as financial instruments and regulatory reporting
 * Solid background in programming languages like Python/Scala/Java etc. Python is a must.
 * Good SQL knowledge (PostgreSQL is a plus)
 * Strong interest in financial domain and desire to develop data solutions in the financial field (previous experience working with data in financial field is a plus)
 * Owning the existing ingestion (web scrappers, S3/FTP sync, email servers, etc.), transformations (SQL, Python), and interface (Data Warehouse Design, API)

## Description

For the expansion of our team, we are looking for a Data Engineer / ETL Developer (m/f/x), who is interested in further developing our existing data platform and reporting services., * Build tools and automation capabilities for data pipelines that improve the efficiency, quality and resiliency of our data platform

 * Monitor and troubleshoot data ingestion incidents by performing root cause analysis and implementing the appropriate fixes to the data pipeline
 * Design and implementation of the Data Pipelines and Data Integration Processes (ELT/ETL) for our data platform
 * Work closely with product experts to reflect data quality needs for the existing products and services as well as for new solutions


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