Vestiaire Collective
Data Engineering Manager(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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LILivePerson
Senior Manager of Data Service(m/w/x)
Berlin
Full-timeRemoteSenior
Nejo AI Summary
Evolving near-real-time data platforms for enterprise conversational AI. 10+ years backend/data platform experience, 5+ years managing global teams required. Deferred pension, ESPP, annual bonus.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or related field
- 10+ years software/data engineering experience
- Strong backend or data platform experience
- 5+ years managing engineering teams
- Experience managing globally distributed organizations
- Strong Agile methodologies skills
- Strong communication skills
- Strong English language skills
- Strong organizational skills
- Proven ability to hire high-performing teams
- Proven ability to grow high-performing teams
- Proven ability to retain high-performing teams
- Strong distributed systems background
- Strong large-scale data platforms background
- Deep understanding of real-time vs batch processing trade-offs
- Experience driving platform migrations
- Experience driving platform modernization initiatives
- Experience operating microservices in Kubernetes environments
- Strong focus on reliability
- Strong focus on scalability
- Strong focus on observability
- Strong cross-functional communication skills
- Highly organized collaboration skills
- Proven decisiveness in establishing ownership boundaries
- Proven decisiveness in sticking to decisions
- Discipline to document decisions
- Discipline to reference decisions
- Ability to influence engineering stakeholders
- Ability to influence product stakeholders
- Ability to influence business stakeholders
- Experience in conversational AI
- Experience in contact center platforms
- Experience in customer engagement systems
- Experience with Java-based microservices
- Familiarity with data integration patterns
Tasks
- Lead and grow a high-performing, distributed team across EU, Israel, and India
- Drive a culture of ownership, accountability, and operational excellence
- Evolve the architecture for near-real-time data platforms
- Lead design decisions for streaming, storage, indexing, and access layers
- Ensure systems are scalable, resilient, and aligned with long-term strategy
- Partner with Product and Architecture to translate vision into roadmaps
- Drive delivery of microservices running on Kubernetes (GKE)
- Ensure predictable, high-quality releases across a complex system
- Migrate from legacy Hadoop/Spark to modern platforms like Databricks
- Balance innovation with reliability and business continuity
- Reduce system complexity while improving performance and cost efficiency
- Define and enforce SLOs/SLAs across the data platform
- Own reliability, observability, and incident response processes
- Build scalable on-call and production support models across time zones
- Act as a key engineering partner to Product, Analytics, and Go-To-Market teams
- Communicate technical strategy, trade-offs, and risks clearly to senior stakeholders
- Align platform capabilities with customer and business outcomes
Work Experience
- 10 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kafka
- Cassandra
- Elasticsearch
- Spark
- MapReduce
- Databricks
- Kubernetes
- GKE
- Java
- Spring Boot
Benefits
Retirement Plans
- Deferred pension scheme
Competitive Pay
- Employee Stock Purchase Plan (ESPP)
Bonuses & Incentives
- Annual bonus
Additional Allowances
- Internet reimbursement
- Mobile reimbursement
Learning & Development
- Internal professional development resources
Flexible Working
- Flexible Paid Time Off (PTO)
More Vacation Days
- 33 days personal time off
Purpose-Driven Work
- Volunteering days
Team Events
- Monthly connection pizza day
Other Benefits
- Reasonable accommodations for disabilities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of LivePerson and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Nejo AI Summary
Evolving near-real-time data platforms for enterprise conversational AI. 10+ years backend/data platform experience, 5+ years managing global teams required. Deferred pension, ESPP, annual bonus.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or related field
- 10+ years software/data engineering experience
- Strong backend or data platform experience
- 5+ years managing engineering teams
- Experience managing globally distributed organizations
- Strong Agile methodologies skills
- Strong communication skills
- Strong English language skills
- Strong organizational skills
- Proven ability to hire high-performing teams
- Proven ability to grow high-performing teams
- Proven ability to retain high-performing teams
- Strong distributed systems background
- Strong large-scale data platforms background
- Deep understanding of real-time vs batch processing trade-offs
- Experience driving platform migrations
- Experience driving platform modernization initiatives
- Experience operating microservices in Kubernetes environments
- Strong focus on reliability
- Strong focus on scalability
- Strong focus on observability
- Strong cross-functional communication skills
- Highly organized collaboration skills
- Proven decisiveness in establishing ownership boundaries
- Proven decisiveness in sticking to decisions
- Discipline to document decisions
- Discipline to reference decisions
- Ability to influence engineering stakeholders
- Ability to influence product stakeholders
- Ability to influence business stakeholders
- Experience in conversational AI
- Experience in contact center platforms
- Experience in customer engagement systems
- Experience with Java-based microservices
- Familiarity with data integration patterns
Tasks
- Lead and grow a high-performing, distributed team across EU, Israel, and India
- Drive a culture of ownership, accountability, and operational excellence
- Evolve the architecture for near-real-time data platforms
- Lead design decisions for streaming, storage, indexing, and access layers
- Ensure systems are scalable, resilient, and aligned with long-term strategy
- Partner with Product and Architecture to translate vision into roadmaps
- Drive delivery of microservices running on Kubernetes (GKE)
- Ensure predictable, high-quality releases across a complex system
- Migrate from legacy Hadoop/Spark to modern platforms like Databricks
- Balance innovation with reliability and business continuity
- Reduce system complexity while improving performance and cost efficiency
- Define and enforce SLOs/SLAs across the data platform
- Own reliability, observability, and incident response processes
- Build scalable on-call and production support models across time zones
- Act as a key engineering partner to Product, Analytics, and Go-To-Market teams
- Communicate technical strategy, trade-offs, and risks clearly to senior stakeholders
- Align platform capabilities with customer and business outcomes
Work Experience
- 10 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kafka
- Cassandra
- Elasticsearch
- Spark
- MapReduce
- Databricks
- Kubernetes
- GKE
- Java
- Spring Boot
Benefits
Retirement Plans
- Deferred pension scheme
Competitive Pay
- Employee Stock Purchase Plan (ESPP)
Bonuses & Incentives
- Annual bonus
Additional Allowances
- Internet reimbursement
- Mobile reimbursement
Learning & Development
- Internal professional development resources
Flexible Working
- Flexible Paid Time Off (PTO)
More Vacation Days
- 33 days personal time off
Purpose-Driven Work
- Volunteering days
Team Events
- Monthly connection pizza day
Other Benefits
- Reasonable accommodations for disabilities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of LivePerson and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
LivePerson
Industry
IT
Description
The company is the global leader in enterprise conversations, providing a Conversational Cloud platform for better customer experiences.
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