Offer summary

Qualifications:

At least 3 years of experience in Data Engineering., Proficient in at least one programming language such as Scala, Java, Kotlin, Rust, Python, or Go., Hands-on experience with distributed systems and cloud platforms., Fluent in English, both written and spoken..

Key responsibilities:

Work with distributed processing tools like Flink, Spark, and Kafka to process large volumes of data.

Manage and improve cloud data lake infrastructure using technologies such as Kafka and AWS Athena.

Contribute to DevOps operations using tools like Kubernetes and Terraform.

Assist Data Scientists in developing pipelines and providing real-time machine learning predictions.

Job description

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

Take your career to the next level!

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