Data Engineer (m/f/d) Customer 360 & Crm
Job Description
As a Data Engineer for Customer 360 & CRM, you will build and maintain scalable data pipelines - real-time, near-time, and batch - connecting internal systems with our SaaS Customer Data Platform (CDP) and Customer Engagement Platform (CEP).
You’ll be responsible for ensuring accurate, reliable, and compliant data flows between systems that power personalized customer engagement and marketing automation. Your work will directly enable targeted campaigns, segmentation, analytics, and insights that drive Eventim’s data-driven growth strategy.
Working closely with Marketing, Product, Data Science, and Engineering teams, you will be the technical backbone behind our Customer 360 ecosystem - turning complex, multi-source data into structured, privacy-compliant, and actionable information.
Key Responsibilities:
Design, implement, and maintain
real-time, near-time, and batch data pipelines
connecting internal and external data sources to CDP & CEP. Implement and optimizeevent streaming, API integrations, and data transformations
across cloud environments (e.g., GCP, BigQuery, Airflow, dbt). Ensurepipeline stability, observability, and performance
across development, staging, and production environments. Guaranteedata quality, security, and compliance
, including handling of consent and GDPR requirements. Define, maintain, and documentdata contracts, interface standards, and API requirements
with development teams. Developdata models
that support campaign activation, customer segmentation, and analytics Collaborate withCRM, Marketing, and Data Science
to align technical data pipelines with business requirements. Continuouslyoptimize data architecture
for scalability, reliability, and cost efficiency.Key Requirements:
Bachelor’s or Master’s degreein Computer Science, Data Engineering, or related field (or equivalent experience) 5+ years of experience as a
Data Engineer
or in a similar role. Proven experience in buildingreal-time and batch data pipelines
(e.g., Kafka, Pub/Sub, Airflow). Strong proficiency inSQL
,Python
, andcloud data tools
(preferablyGCP / BigQuery
). Hands-on experience withETL/ELT frameworks
(Airflow, dbt, Dataflow, etc.). Deep understanding ofdata modeling
,data governance
, andAPI integration patterns
. Experience withCDP / CEP platforms
(e.g., Zeotap, Tealium, Segment, Twilio, Bloomreach, Salesforce Marketing Cloud, Braze, Insider, etc.). Familiarity withCI/CD pipelines
,Terraform
, andGit-based workflows
. Strong focus ondata quality, observability, and monitoring
(e.g., Datadog, Cloud Monitoring). * Understanding ofGDPR, consent frameworks
, and secure data management.MNCJobs.de will not be responsible for any payment made to a third-party. All Terms of Use are applicable.
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Job Detail
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Job IdJD3747743
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationBerlin, BE, DE, Germany
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EducationNot mentioned