Big Data Engineer (Java) (f / m / d)

Virtual Minds GmbH; Freiburg im Breisgau; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Join a leading European Adtech company as a Big Data Engineer, where you will be involved in the full software development lifecycle. Collaborate with top experts to design data pipelines and improve the data ecosystem while enjoying a flexible working environment with ample growth opportunities.

Leistungen

Remote, hybrid or on-site work options

Flexible working hours

30 days of vacation

Employee discounts and bicycle leasing

Training opportunities for personal and professional development

Qualifikationen

• Several years of experience in Java and Python development.
• Experience in distributed big data systems deployment and monitoring.
• Exposure to high-performance data pipelines preferred.

Aufgaben

• Design and develop data pipelines; maintain data ecosystem.
• Ensure code quality while writing reusable testable code.
• Promote best practices according to industry standards.

Kenntnisse

Java

Python

Apache Kafka

Spark

Cloud Data Platforms

Airflow

SQL

NoSQL

Docker

Kubernetes

Jobbeschreibung

Virtual Minds is a 100% subsidiary of ProSiebenSat.1 Media SE and stands for premium Adtech made in Europe for over 20 years. Whether SSP, DSP, DMP or adserving - as a first mover, we and our 200 employees always have the right solution for successful operations within the digital advertising market.

For our BI Team we are looking for an experienced Big Data Engineer who is going to be involved in the whole software development lifecycle, from defining the concept and technical design up to implementation and maintenance focusing on the continuous improvement of the product.That implies the creation of the team roadmap and the suggestion of tech improvements by thoroughly understanding the business model in relation to the current product focus area(s).

What you can expect in this role

You are going to design and develop new data pipelines and maintain our data ecosystem, focusing on fault-tolerant ingestion, storage and data lifecycle, and the computation of metrics, reports, and derived information.

You will be the one to take on all technical communication with your team-mates in order to make decisions as well as advise and drive specialized topics among colleagues and management.

You will be the one to ensure the code’s quality whilst writing high-quality, reusable and testable code and bringing it to production.

You will be the one to indicate and apply best practices according to industry standards whilst promoting a culture of agility and excellence.

Your essential experience and education

Several years of experience developing in both Java and Python.

Significant experience with developing and maintaining distributed big data systems with production quality deploymentand monitoring.

Exposure to high-performance data pipelines, preferably with Apache Kafka & Spark.

Experience with scheduling systems such as Airflow, and SQL / NoSQL Databases.

Experience with cloud data platforms is a plus.

Exposure to Docker and / or Kubernetes is preferred.

What's in it for you?

• Leading full tech stack : We offer the opportunity to cooperate with the leading players in the industry in a team of top experts and to actively shape one of the most technologically exciting tech areas. You’ll work in a start-up atmosphere and still enjoy all the benefits of a large corporation
• Attractive working environment : You decide : Remote, hybrid or on-site. Our modern working models, flexible working hours and 30 days of vacation contribute to a good work-life balance
• Room for Growth : Everyone can get involved and contribute to advancing topics. We work at eye level, in agile dynamics and flat hierarchies. We offer a wide range of internal and external training opportunities for your personal and professional development
• Many other benefits : Profit from additional benefits such as employee discounts, bicycle leasing (JobRad), Hansefit or Urban Sports Club and subsidised company pension schemes

Closure

Please send your application including your salary expectations and availability via our careers page. For further information, please contact us on +49761 / 88147-0.

Company Text

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