Germany•TELECOMMUTE
Remote
Senior
Full Time
remotedata_engineerAIdata_platformsenior
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 like 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
- •Comfortable working in a fully remote environment
- •Physically located within Europe
What You'll Do
- •Design, build, and maintain the internal data warehouse and analytical data layer, consolidating data from across product and operational systems into a single reliable source of truth
- •Define and enforce data models, schemas, and data contracts for downstream consumers
- •Build and maintain transformation pipelines for 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 stakeholders across engineering, product, and business teams to understand data needs and translate them into scalable data models
- •Champion good data engineering practices including CI/CD for data assets, testing, documentation, and reproducibility
Nice to Have
- •Knowledge of data cataloguing tools, data contracts frameworks, or data mesh principles
- •Experience with streaming or real-time data ingestion into a warehouse environment
- •Background in B2B SaaS and familiarity with common product and business data sources (CRM, product analytics, billing, support tooling)
Benefits
- •Work with a knowledgeable, high-achieving and fun team
- •International, diverse, dynamic and committed work environment
- •Opportunity to work remotely with a flexible work schedule
- •Mental health support with Auntie
About DealFront
Dealfront is the go-to-market platform that provides data, applications, and insights to sales and marketing teams.
Karlsruhe, Germany
100 - 250
Data & Analytics