Senior Data Engineer, Platform Data
New
L
LeadfeederB2B SaaS
Be physically located within Europe. Location: GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 10+ years
- Required Skills
- AWSPythonSQLKafkaSnowflakeCI/CDTerraformBigQuerydbt
Requirements
- 10+ years of hands-on experience in data and/or software engineering.
- Proven leading role in production data pipelines for product or customer-facing systems.
- Expertise in production-grade Python and SQL.
- Strong background in code review, testing, CI/CD, and operational ownership.
- Deep cloud infrastructure experience (AWS preferred, e.g., S3, Kinesis/MSK, Lambda, ECS/EKS).
- Experience with infrastructure-as-code tools like Terraform or CDK.
- Experience with streaming/real-time data ingestion (Kafka, Flink, Spark Streaming).
- Solid experience with modern data warehouse/lakehouse technologies (Snowflake, BigQuery, Databricks).
- Hands-on experience with dbt.
- Strong communication skills in English.
Responsibilities
- Design, build, and operate production data pipelines that power Leadfeeder's product features — from ingestion through enrichment, processing, and serving.
- Build and maintain streaming and real-time ingestion systems that move event data through the platform at scale and with low latency.
- Own the cloud infrastructure underpinning the pipelines — compute, storage, networking, security, observability — designed and managed as code.
- Collaborate with product and ML engineers to deliver datasets and pipelines that power product-facing features and AI/ML workflows.
- Implement data quality, observability, and reliability controls across the pipelines so issues are caught early, incidents are short, and downstream teams can trust the data.
- Drive engineering practices across the team: code review, testing, CI/CD for data, infrastructure-as-code, performance tuning, and cost discipline.
- Partner with engineering, product, and ML teams to translate product requirements into scalable, well-documented data systems.
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