13d 16h ago
Staff Engineer
idealo·General Data Engineering · E-commerce
🏢Hybrid
|Berlin, Germanyairflowawsci/cddocker+4
Staff Engineer
idealo | General Data Engineering | E-commerce
Hybrid
Full Time
Germany, Berlin
Source not independently verified
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Position:
Staff Engineer - Data Platform (m|w|d)
Company:
idealo
Location:
Germany, Berlin
Employment type:
Full Time
Work Arrangement:
Onsite
Short Summary:
As a Staff Engineer, you’ll shape the technical foundation of the platform that thousands of daily data workloads depend on and drive the strategic initiatives that will define what it can do next. This role combines platform engineering, cloud architecture, and data engineering.
Responsibilities:
- Architect and develop cloud-native platform components, infrastructure automation, and pipeline frameworks.
- Lead technical initiatives to align platform capabilities with business and product needs.
- Identify technical risks early and keep architecture decisions traceable.
- Drive continuous improvements across CI/CD pipelines and infrastructure as code.
- Shape idealo’s strategic platform initiatives: Personalization and Data-as-a-Service (DaaS).
- Mentor engineers through technical guidance and architecture discussions.
Requirement:
- Experience building and operating cloud-native platforms on AWS.
- Hands-on experience with AWS services including Glue Catalog, Glue ETL with PySpark, S3, Lake Formation, Kafka, Kinesis, Lambda, ECS or EKS, and CloudWatch.
- Familiarity with infrastructure-as-code tooling such as Terraform, AWS CDK, or CloudFormation.
- Experience with workflow orchestration and data pipeline frameworks, ideally including Airflow or Astronomer.
- Knowledge of data governance and compliance topics, including GDPR.
Benefits:
- Personal development goals supported with additional learning and development budget.
- Free organic breakfast, excellent free lunch, coffee, lemonades, and after-work beer.
- Rooftop terrace for networking.
- Free counseling and support in all areas of life.
- Job bike or Deutschlandticket for flexible commuting.
- Fitness and sports options available, such as Urban Sports or Gympass membership.
Staff Engineer - Data Platform (m|w|d)
Company:
idealo
Location:
Germany, Berlin
Employment type:
Full Time
Work Arrangement:
Onsite
Short Summary:
As a Staff Engineer, you’ll shape the technical foundation of the platform that thousands of daily data workloads depend on and drive the strategic initiatives that will define what it can do next. This role combines platform engineering, cloud architecture, and data engineering.
Responsibilities:
- Architect and develop cloud-native platform components, infrastructure automation, and pipeline frameworks.
- Lead technical initiatives to align platform capabilities with business and product needs.
- Identify technical risks early and keep architecture decisions traceable.
- Drive continuous improvements across CI/CD pipelines and infrastructure as code.
- Shape idealo’s strategic platform initiatives: Personalization and Data-as-a-Service (DaaS).
- Mentor engineers through technical guidance and architecture discussions.
Requirement:
- Experience building and operating cloud-native platforms on AWS.
- Hands-on experience with AWS services including Glue Catalog, Glue ETL with PySpark, S3, Lake Formation, Kafka, Kinesis, Lambda, ECS or EKS, and CloudWatch.
- Familiarity with infrastructure-as-code tooling such as Terraform, AWS CDK, or CloudFormation.
- Experience with workflow orchestration and data pipeline frameworks, ideally including Airflow or Astronomer.
- Knowledge of data governance and compliance topics, including GDPR.
Benefits:
- Personal development goals supported with additional learning and development budget.
- Free organic breakfast, excellent free lunch, coffee, lemonades, and after-work beer.
- Rooftop terrace for networking.
- Free counseling and support in all areas of life.
- Job bike or Deutschlandticket for flexible commuting.
- Fitness and sports options available, such as Urban Sports or Gympass membership.
Required Skills
airflowawsci/cddockerkafkakubernetespysparkterraform
Required Languages
🇬🇧 English, 🇩🇪 German
Key competency: General Data Engineering