Data Engineer — Real-Time ELT & Big Data in Vienna

apsa personnel concepts gmbh; Wien; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working conditions

State-of-the-art technologies

Extra day off on your birthday

Parking space or excellent public transport access

Meal allowance with fresh fruit and drinks

Relocation support

Regular team events

Various discounts

Job summary

A leading company in sports betting is seeking a Data Engineer in Vienna to help build a central Data Science team. The role involves analyzing and preparing data, modeling scalable ELT/ETL processes, and acting as a liaison between Data Analysts and Data Scientists. Candidates should have a technical background in Computer Science, experience in data modeling, and strong programming skills in Scala and/or Java, and Python. The company offers a modern work environment, flexible conditions, and various perks including relocation support and meal allowances.

Qualifications

• Experience in data modeling with relational databases and Apache Hadoop.
• Strong programming skills in Scala and/or Java, Python.
• Interest in working with high-frequency data in a near real-time environment.

Responsibilities

• Analysis and preparation of data from upstream systems.
• Modeling and implementation of scalable ELT/ETL processes.
• Act as an interface between Data Analysts and Data Scientists.
• Data enrichment and loading into a Big Data environment.

Skills

Data modeling

Programming in Scala and/or Java

SQL (MS SQL Server)

Apache Hadoop ecosystem

Python

Experience with Linux

Education

Technical education in Computer Science

Tools

Apache Hadoop

Kafka

NiFi

Flink

Job description

A leading company in sports betting is seeking a Data Engineer in Vienna to help build a central Data Science team. The role involves analyzing and preparing data, modeling scalable ELT/ETL processes, and acting as a liaison between Data Analysts and Data Scientists. Candidates should have a technical background in Computer Science, experience in data modeling, and strong programming skills in Scala and/or Java, and Python. The company offers a modern work environment, flexible conditions, and various perks including relocation support and meal allowances.