Marketing Data Engineer

1w1 week ago

Flatpay

Copenhagen, DK · Full-time · DKK 450,000 – DKK 650,000

About this role

As a Data Engineer in the Marketing team at Flatpay, you’ll collaborate closely with marketers, BI engineers, and analysts to turn business needs into scalable data solutions. You’ll help build and evolve event-driven ETL/ELT pipelines for lead intake, routing, and enrichment. This role powers the data platform that drives marketing insights.

You’ll design, build, and operate lead flow pipelines with monitoring and alerting for reliability. Contribute to internal tools and frameworks for marketing data ingestion and transformation. Enable self-service analytics through clean, well-documented datasets for dashboards and reporting.

Partner with marketing analysts and stakeholders to translate business needs into robust data solutions. Build and maintain data models supporting campaign performance tracking, attribution, and customer segmentation. Work cross-functionally with marketers, analysts, and engineers.

You are a pragmatic, detail-oriented problem solver who enjoys building data systems impacting business growth. Communicate technical concepts clearly to non-technical stakeholders. If Python- and SQL-savvy and excited about marketing data, apply even if not every box is checked.

Requirements

0–3 years of experience as a Data Engineer or similar role
Solid understanding of ETL/ELT design and data modeling principles
Strong Python and SQL skills in production environments
Exposure to cloud infrastructure (Azure, AWS, or GCP)
Strong attention to data quality and consistency
Experience with marketing data and attribution models
Experience with CI/CD workflows, version control (e.g., Git), and testing best practices
Familiarity with data orchestration tools (e.g., Airflow, Prefect, Azure Data Factory)

Responsibilities

Design, build, and operate lead flow pipelines, including monitoring and alerting to ensure reliability
Contribute to the development of internal tools and frameworks for marketing data ingestion and transformation
Enable self-service analytics by structuring clean, well-documented datasets for dashboards and reporting tools
Partner with marketing analysts and stakeholders to translate business needs into robust data solutions
Build and maintain data models that support campaign performance tracking, attribution, and customer segmentation