Senior Data Engineer, AI & Data Platform

We are looking for a Data Engineer to join our Data Warehouse team and take ownership of the internal data warehouse and analytics platform at Leadfeeder.

Requirements

• Design, build, and maintain the internal data warehouse and analytical data layer, consolidating data from across our product and operational systems into a single reliable source of truth.
• Define and enforce data models, schemas, and data contracts so that downstream consumers — data analysts and business teams — can trust and self-serve the data they work with.
• Collaborate with Data Analysts to enable AI and machine learning use cases on top of internal data — building the datasets and infrastructure they need to train models and run analytical workflows.
• 10+ years of hands-on experience in data engineering, with demonstrated ownership of production data warehouses or analytical data platforms.
• Strong proficiency in SQL and Python.
• Solid experience with modern data warehouse technologies (Snowflake, BigQuery, Redshift, or similar).
• Experience with AWS data services (S3, Athena, Glue, or equivalents).
• Hands-on experience with data transformation and modelling tools, particularly dbt.
• Experience with workflow orchestration tools such as Apache Airflow or similar.
• Background in enabling AI workloads on top of warehouse data.
• Solid understanding of dimensional modelling, data vault, or other analytical data modelling approaches.
• Familiarity with data quality tooling and testing practices (Great Expectations, dbt tests, or similar).
• Strong communication skills in English, both written and verbal, with the ability to collaborate effectively with 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.