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

Ströer SE & Co. KGaA

Berlin

Hybrid

EUR 60.000 - 85.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading company in programmatic advertising is seeking a (Mid/Senior) Data Software Engineer in Berlin. You will work with cutting-edge technology to process massive datasets using distributed processing tools and contribute to innovative data engineering solutions. This role offers flexibility, a supportive work environment, and ample opportunities for personal development within a collaborative team.

Leistungen

30 vacation days
Workation
Sabbatical
Flexible working hours
Mobility & Allowances
Corporate benefits
Further development opportunities
Comprehensive onboarding events
Modern offices
Employee referral programme
Company events
Networking communities
IT benefit programme

Qualifikationen

  • You bring at least 3 years of experience in Data Engineering.
  • Proficient in at least one programming language: Scala, Java, Kotlin, Rust, Python, or Go.
  • Hands-on experience working with distributed systems and cloud platforms.

Aufgaben

  • Work with distributed processing tools like Flink, Spark, and Kafka.
  • Manage and improve cloud data lake infrastructure.
  • Contribute to DevOps operations using tools like Kubernetes and Terraform.

Kenntnisse

Data Engineering
Distributed Systems
DevOps
Programming (Scala, Java, Kotlin, Python, Go, Rust)

Jobbeschreibung


Company Description

Ströer SSP heavily relies on optimized infrastructure to deliver a high volume of real-time programmatic advertising with low latency. Our Engineering competence is at the heart of our success. We constantly strive for technical excellence, efficiency and incorporation of state-of-the-art solutions by combining engineering and science. At the heart of our operation lies the processing and analysis of massive amounts of data, which we approach with a focus on scientific and technological reliability. We are working at the cutting edge of big data, machine learning, real-time technologies and operating large-scale deployments of web services.

We are currently looking for a(Mid/Senior) Data Software Engineer (f/m/d) in Berlin.


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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