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Software Engineer (Data Transformation)

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Onsite

Software Engineer (Data Transformation)

Snowflake

Software Engineer (Data Transformation)

Skills

SQL QueriesPythonData ScienceJavaKafkaAIScala

2 months ago

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Important information


Contract type:

Permanent

Location:

Berlin, Germany

Work mode:

Onsite

Published on:

17 August 2026

What they need


  • We are looking for talented Software Engineers to join our Data Platform team
  • You will design, build, and operate large-scale distributed data systems that power Snowflake’s core platform
  • This role is open to both new college graduates (MSc/PhD) and early career professionals
  • Design and implement scalable, high-throughput data processing systems
  • Build and maintain real-time and batch data pipelines
  • Collaborate cross-functionally with product, infrastructure, and data science teams
  • Contribute to architectural decisions and technical roadmaps
  • Write clean, tested, production-quality code at scale

Benefits

  • Comprehensive health insurance plans
  • Health savings accounts
  • Robust retirement plans
  • Life and disability insurance
  • Weekly online lunch and learns
  • Virtual workout classes
  • Ergonomic work-from-home equipment
  • On-demand mental health and wellness programs
  • Fertility benefits and family planning resources
  • Generous time-off and various leave plans
  • Onsite and Remote Work
  • Employee discounts and pre-tax selections
  • New hire equity + Employee Stock Purchase Plan (ESPP)
  • Quarterly bonus or commission program- Experience with large-scale data systems or cloud platforms
  • Proficiency in Java, Scala, Python, or C++
  • Strong foundation in distributed systems, algorithms, and data structures
  • BS/MS/PhD in Computer Science, Engineering, or related field (or equivalent experience)
  • Experience with Apache Flink and/or Apache Spark for stream or batch processing
  • Familiarity with AI-augmented software development practices — using LLMs/Copilot tools to accelerate engineering workflows, prototype solutions, and improve code quality
  • Experience with Kafka, data lakehouse architectures, or SQL engines

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