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Senior Data Engineer(m/w/x)
Designing real-time data pipelines with Apache Kafka and CDC tools for global logistics platforms. 6+ years data engineering experience required. 27 days holiday, plus extra days for tenure.
Requirements
- 6+ years data engineering or backend/data platform experience
- Proven track record in core infrastructure engineering
- Strong hands-on streaming systems experience
- Strong hands-on CDC tools experience
- Extensive GCP (BigQuery) experience
- Extensive modern data stacks experience
- Manage complex, distributed systems
- Proficiency in Python, Java, or Scala
- Experience supporting data scientists
- Experience operationalizing ML pipelines
- Experience with MLOps workflows
- Strong understanding of real-time data processing
- Commitment to high data quality standards
- Commitment to high observability standards
- Commitment to high reliability standards
- Positive, high-energy attitude
- Desire to work in a collaborative team
- Willingness to learn fast
- Willingness to take ownership of OKRs
- Experience in logistics platforms
- Experience in mobility platforms
- Experience in marketplace platforms
- Exposure to feature stores
- Exposure to online inference systems
- Exposure to real-time ML
- Experience with data observability tools
Tasks
- Design real-time data pipelines using Apache Kafka
- Build event-driven architectures for global logistics platforms
- Develop CDC-based ingestion pipelines with Debezium
- Integrate core infrastructure with GCP and BigQuery
- Ensure high data quality, observability, and reliability
- Operationalize workflows with data scientists and ML engineers
- Build scalable data models for logistics optimization
- Support logistics domain with reliable datasets
- Document datasets comprehensively
- Participate in on-call rotation for infrastructure stability
- Collaborate with a close-knit, high-impact platform team
Work Experience
- 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Apache Kafka
- Confluent
- Debezium
- GCP
- BigQuery
- Spark
- Flink
- Python
- Java
- Scala
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
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Senior Data Engineer(m/w/x)
Designing real-time data pipelines with Apache Kafka and CDC tools for global logistics platforms. 6+ years data engineering experience required. 27 days holiday, plus extra days for tenure.
Requirements
- 6+ years data engineering or backend/data platform experience
- Proven track record in core infrastructure engineering
- Strong hands-on streaming systems experience
- Strong hands-on CDC tools experience
- Extensive GCP (BigQuery) experience
- Extensive modern data stacks experience
- Manage complex, distributed systems
- Proficiency in Python, Java, or Scala
- Experience supporting data scientists
- Experience operationalizing ML pipelines
- Experience with MLOps workflows
- Strong understanding of real-time data processing
- Commitment to high data quality standards
- Commitment to high observability standards
- Commitment to high reliability standards
- Positive, high-energy attitude
- Desire to work in a collaborative team
- Willingness to learn fast
- Willingness to take ownership of OKRs
- Experience in logistics platforms
- Experience in mobility platforms
- Experience in marketplace platforms
- Exposure to feature stores
- Exposure to online inference systems
- Exposure to real-time ML
- Experience with data observability tools
Tasks
- Design real-time data pipelines using Apache Kafka
- Build event-driven architectures for global logistics platforms
- Develop CDC-based ingestion pipelines with Debezium
- Integrate core infrastructure with GCP and BigQuery
- Ensure high data quality, observability, and reliability
- Operationalize workflows with data scientists and ML engineers
- Build scalable data models for logistics optimization
- Support logistics domain with reliable datasets
- Document datasets comprehensively
- Participate in on-call rotation for infrastructure stability
- Collaborate with a close-knit, high-impact platform team
Work Experience
- 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Apache Kafka
- Confluent
- Debezium
- GCP
- BigQuery
- Spark
- Flink
- Python
- Java
- Scala
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life & accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Delivery Hero
Industry
Logistics
Description
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
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