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(Mid/Senior) Data Software Engineer (f/m/d)

Ströer SSP GmbH

Berlin

Vor Ort

EUR 55.000 - 80.000

Vollzeit

Vor 11 Tagen

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Zusammenfassung

A leading company in Berlin is seeking a (Mid/Senior) Data Software Engineer to manage and improve data processing systems. The successful candidate will work with advanced technologies like Flink, Spark, and Kafka, providing machine learning predictions and contributing to DevOps practices. Enjoy a diverse work environment with ample self-development opportunities and various corporate benefits.

Leistungen

30 vacation days
Workation opportunities
Flexible working hours
Subsidized job bike and Deutschland ticket
Corporate benefits
Internal talent programmes
Comprehensive onboarding events
Modern paperless workstations
Employee referral programme
Company events

Qualifikationen

  • At least 3 years of experience in Data Engineering.
  • Proficient in one of the languages: Scala, Java, Kotlin, Rust, Python, or Go.
  • Fluent in English, both written and spoken.

Aufgaben

  • Work with tools like Flink, Spark, and Kafka to process data.
  • Manage cloud data lake infrastructure.
  • Contribute to DevOps operations using tools such as Kubernetes and Terraform.

Kenntnisse

Data Engineering
Software Engineering
DevOps
Functional Programming
Distributed Systems
Cloud Platforms
English

Jobbeschreibung

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(Mid/Senior) Data Software Engineer (f/m/d), Berlin

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Client:
Location:

Berlin, Germany

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

94e02f4db92a

Job Views:

2

Posted:

15.06.2025

Expiry Date:

30.07.2025

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Job Description:

Job Description

  • You work with distributed processing tools such as Flink, Spark, and Kafka to process TBs of data, in batch and streaming modes
  • You manage and improve cloud data lake infrastructure, using technologies such as Kafka, Hudi/Iceberg, AWS Athena, etc
  • You will gain experience programming in several programming languages, mainly within the JVM stack such as Scala, Java, Kotlin, but also outside of it, such as: Python, Go, and Rust
  • You contribute to DevOps operations, using tools such as Kubernetes, Flux, Helm, Terraform, AWS CDK
  • You help Data Scientists develop pipelines, models and provide both batch and realtime machine learning predictions with sub-second response times (under 30 milliseconds latency p99)
  • You come up with new ideas and approaches to resolve emerging issues

Qualifications

  • You bring at least 3 years of experience in Data Engineering
  • You take interest in software engineering, especially in functional programming and the data engineering field, with a knack for DevOps
  • You are proficient in at least one programming language: Scala, Java, Kotlin, Rust, Python, or Go
  • You have hands-on experience working with distributed systems and cloud platforms
  • You communicate fluently in English, both written and spoken


Additional Information

Get more from your Job! We focus on the individualistic potential of each employee with an environment that assists in self-development, whilst taking on responsibility and creating innovative solutions as a team player. Explore our benefits and the support it offers you on your journey with us:

  • 30 vacation days: discover your adventurous side
  • Workation: Work from other European countries for a maximum of 20 days
  • Sabbatical: Extended time off
  • Flexible working hours and mobile working options (2-3 days per week)
  • Mobility & Allowances: Job bike and Deutschland ticket (partially subsidized by the company)
  • Corporate benefits: Discounts on various products/services
  • Further development: Internal talent programmes, promoting gender equality, training opportunities
  • Onboarding events: Comprehensive induction and introductory events
  • Modern offices: Paperless workstations with digital processes
  • Employee referral programme: Rewards for each successful referral
  • Company events: Christmas parties, team building and sporting events
  • Communities: networking within the company
  • IT benefit programme: Technical equipment subsidized by the company – for private use as well

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