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Senior Data Engineer, AI & Data Platform

3 weeks, 1 day ago
Europe
Full-time
Lead
Data Engineer
Software Development
Apache Airflow AWS dbt GCP Machine Learning Python Snowflake SQL
Apply Now
Leadfeeder

Leadfeeder

Leadfeeder is a B2B lead generation tool that reveals website visitors' companies, activities, and engagement, integrating with Google Analytics for effective lead tracking and conversion.

Professional Services
51-250
$5M raised
View All Jobs 8

Description

  • Design, build, and maintain the internal data warehouse and analytical data layer as a single source of truth.
  • Define and enforce data models, schemas, and data contracts for downstream consumers.
  • Build and maintain transformation pipelines that produce clean, structured analytical datasets.
  • Collaborate with data analysts to enable AI and machine learning use cases on internal data.
  • Implement data quality monitoring, lineage tracking, and observability across the warehouse.
  • Work with engineering, product, and business stakeholders to translate data needs into scalable data models.
  • Champion data engineering best practices, including CI/CD, testing, documentation, and reproducibility.

Requirements

  • 10+ years of hands-on experience in data engineering with ownership of production data warehouses or analytical data platforms.
  • Strong proficiency in SQL and Python.
  • Experience with modern data warehouse technologies such as Snowflake, BigQuery, Redshift, or similar.
  • Experience with AWS data services such as S3, Athena, and Glue, or equivalents.
  • Hands-on experience with dbt and other data transformation and modelling tools.
  • 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 such as Great Expectations or dbt tests.
  • Strong written and verbal English communication skills and the ability to collaborate with non-engineering stakeholders.
  • Comfortable working in a fully remote environment.
  • Physically located within Europe.
  • Knowledge of data cataloguing tools, data contracts frameworks, or data mesh principles is a plus.
  • Experience with streaming or real-time data ingestion into a warehouse environment is a plus.
  • Background in B2B SaaS and familiarity with CRM, product analytics, billing, or support tooling is a plus.

Benefits

  • Opportunity to work with a knowledgeable, high-achieving, and fun team.
  • International, diverse, dynamic, and committed work environment.
  • Remote work with a flexible work schedule.
  • Mental health support through Auntie.

Interested in this position?

Apply directly on the company website

Apply Now

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