Marketing Data Engineer: Build scalable ETL/ELT pipelines

Flatpay; Denmark; Remote; DKK 550,000 - 750,000; Full time

Job summary

Flatpay is seeking a Data Engineer in the Marketing team to design, build, and operate event-driven ETL/ELT pipelines for lead intake, routing, and enrichment, powering marketing insights.

You will collaborate with marketers, BI engineers, and analysts to deliver scalable data solutions, enable self-service analytics, and support campaign performance tracking and customer segmentation.

Qualifications

• 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.

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.

Skills

Python

SQL

ETL/ELT

Data modeling

Cloud platforms

Tools

Airflow

Prefect

Azure Data Factory

Git

Databricks

Snowflake

BigQuery

Job description

Flatpay is seeking a Data Engineer in the Marketing team to design, build, and operate event-driven ETL/ELT pipelines for lead intake, routing, and enrichment, powering marketing insights.

You will collaborate with marketers, BI engineers, and analysts to deliver scalable data solutions, enable self-service analytics, and support campaign performance tracking and customer segmentation.