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

Company 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

• 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

Benefits

• Team Events