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

Virtual Minds GmbH; Köln; Hybrid; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

Une entreprise spécialisée dans la technologie publicitaire recherche un ingénieur Big Data expérimenté pour rejoindre son équipe BI. Ce rôle implique la conception de pipelines de données et la maintenance de l'écosystème de données. Vous apporterez votre expertise en Java et Python tout en contribuant à la culture d'agilité et d'excellence de l'entreprise. Profitez d'un environnement de travail moderne avec des options télétravail, des formations continues et d'autres avantages intéressants.

Leistungen

Environnement de travail attrayant

Modèles de travail flexibles

Large gamme de formations internes et externes

Avantages supplémentaires comme déductions pour employés

Leasing de bicyclettes (JobRad)

Subventions de retraite pour les employés

Qualifikationen

• Plusieurs années d'expérience en développement Java et Python.
• Significative expérience avec des systèmes de big data distribués.
• Expérience avec des pipelines de données de haute performance.

Aufgaben

• Concevoir et développer de nouveaux pipelines de données.
• Assurer la communication technique avec l'équipe.
• Écrire du code de haute qualité, réutilisable et testable.

Kenntnisse

Java

Python

Apache Kafka

Spark

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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