Staff Engineer - Data Platform
New
GermanyFull-TimeStaff
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 8+ years of experience in data engineering or software engineering, including at least 2+ years in a staff or principal-level role.
- Required Skills
- AWSPythonSQLGCPKafkaAzureSparkdbt
Requirements
- 8+ years of experience in data engineering or software engineering
- At least 2+ years in a staff or principal-level role
- Proven experience designing and operating large-scale data platforms (batch, streaming, or hybrid architectures)
- Strong hands-on expertise with tools such as Spark, Flink, Kafka, StarRocks or equivalent technologies
- Advanced proficiency in Python and SQL
- Comfort across multiple engineering paradigms
- Solid understanding of data modeling approaches such as dimensional modeling, Data Vault, or lakehouse architectures
- Experience with cloud data platforms (AWS, GCP, or Azure) and modern data infrastructure
- Strong knowledge of data governance, quality, observability, and reliability engineering practices
- Ability to lead technical initiatives and set engineering standards without formal authority
- Fluent professional English communication skills
- Bonus: experience in fintech or payments
- Bonus: experience with dbt
- Bonus: experience with data mesh concepts
- Bonus: experience with ML/feature store infrastructure
Responsibilities
- Take ownership of the architecture, reliability, and evolution of a high-scale data platform
- Contribute directly to the most critical components of the data platform
- Define and evolve the overall data platform architecture
- Drive end-to-end design and delivery of complex data initiatives
- Build and optimize scalable, low-latency data pipelines processing high-volume payment and transaction data in real time
- Establish engineering standards across data modeling, testing, observability, documentation, and system reliability
- Ensure platform robustness through SLAs, monitoring, incident response, and proactive data quality management
- Design and implement data models supporting fraud detection, analytics, regulatory reporting, and payment optimization use cases
- Collaborate with cross-functional teams to translate business requirements into robust and scalable data solutions
- Mentor engineers and contribute to raising technical excellence through reviews, knowledge sharing, and leadership
- Champion AI-assisted engineering practices and automation in data workflows and quality systems
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