Senior Data Engineer, Platform Data

Leadfeeder turns B2B websites into lead generation engines. Every day, potential buyers visit your website and leave without filling out a form. Leadfeeder reveals which companies are behind that traffic, shows what they care about, and helps teams act while interest is high.

Requirements

• 10+ years of hands-on experience in data and/or software engineering
• Strong engineering background — production-grade Python, strong SQL, code review, testing, CI/CD, and operational ownership
• Deep cloud infrastructure experience — AWS (S3, Kinesis/MSK, Lambda, ECS/EKS, IAM, networking) or equivalent
• Experience with streaming or real-time data ingestion (Kafka, Kinesis, Flink, Spark Streaming, or similar) into a warehouse or lakehouse environment
• Solid experience with modern data warehouse / lakehouse technologies (Snowflake, BigQuery, Redshift, Databricks, Athena or similar)
• Hands-on experience with data transformation tooling, particularly dbt
• Track record of building and operating distributed data systems at scale — with deliberate attention to performance, reliability, and cost
• Familiarity with data quality and observability tooling and practices (Great Expectations, dbt tests, Monte Carlo, or similar)
• Background in enabling AI/ML workloads on top of production data
• Strong communication skills in English, both written and verbal, with the ability to collaborate effectively with engineering, product, and non-engineering stakeholders
• Comfortable working in a fully remote environment

Benefits

• An international, diverse, dynamic and committed work environment
• The opportunity to work remotely, with a flexible work schedule
• Mental health support with Auntie