About the job
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, as well as the data platform that powers marketing insights.
What you'll do
- 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
Who you are
You are a pragmatic and detail-oriented problem solver who enjoys building data systems that directly impact business growth. You’re comfortable working cross-functionally with marketers, analysts, and engineers, and you can communicate technical concepts clearly to non-technical stakeholders.
Must-haves
- 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
Nice-to-haves- 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)
- Experience with modern data platforms (e.g., Databricks, Snowflake, BigQuery)
We’d still love to hear from you if…You don’t check every box but you’re a Python- and SQL-savvy problem solver who’s excited about working with marketing data and enabling growth through better insights.
If you’re curious, collaborative, and motivated by building data systems that directly impact business performance, we encourage you to apply!
