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

Ströer; Stuttgart; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading company in programmatic advertising seeks a (Mid/Senior) Data Software Engineer in Stuttgart. You'll engage in data processing using tools like Flink and Spark, contribute to cloud infrastructure, and work closely with Data Scientists for real-time predictions. This role promises a dynamic work environment with significant opportunities for professional growth.

Leistungen

Workation: Work from other European countries for a maximum of 20 days

Sabbatical: Extended time off

Flexible working hours and mobile working options

Job bike and Deutschland ticket subsidies

Training opportunities and development programs

Comprehensive onboarding events

Paperless workstations with digital processes

Employee referral programme

Various company events, including Christmas parties

Technical equipment subsidized for private use

Qualifikationen

• At least 3 years of experience in Data Engineering.
• Proficient in at least one programming language: Scala, Java, Kotlin, Rust, Python, or Go.
• Fluency in English, both written and spoken.

Aufgaben

• Work with distributed processing tools to process TBs of data in batch and streaming modes.
• Manage and improve cloud data lake infrastructure.
• Contribute to DevOps operations using relevant tools.

Kenntnisse

Data Engineering

Software Engineering

DevOps

Distributed Systems

Cloud Platforms

Functional Programming

Machine Learning

Programming (Scala, Java, Kotlin)

Python

Go

Rust

Tools

Flink

Spark

Kafka

Kubernetes

Terraform

AWS CDK

Jobbeschreibung

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 :

• 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