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!