Marketing Data Engineer

Job summary

As a Data Engineer within the Marketing team, you will work closely with marketers, BI engineers, and analysts to develop scalable data solutions that meet business requirements. Your role will involve building and maintaining event-driven ETL/ELT pipelines to support lead intake, routing, and enrichment, as well as enhancing the data platform for marketing insights.

Qualifications

• 0–3 years of experience in a Data Engineer role or similar
• Solid understanding of ETL/ELT design and data modeling principles
• Proficient in Python and SQL within production environments
• Familiarity with cloud infrastructure such as Azure, AWS, or GCP
• Strong focus on data quality and consistency

Responsibilities

• Design, build, and operate lead flow pipelines, ensuring reliability through monitoring and alerting
• Contribute to internal tools and frameworks for marketing data ingestion and transformation
• Structure clean, well-documented datasets to enable self-service analytics for dashboards and reporting tools
• Collaborate with marketing analysts and stakeholders to translate business needs into effective data solutions
• Build and maintain data models for tracking campaign performance, attribution, and customer segmentation

Skills

• Experience with marketing data and attribution models is a plus
• Familiarity with CI/CD workflows, version control (e.g., Git), and testing best practices
• Knowledge of data orchestration tools (e.g., Airflow, Prefect, Azure Data Factory)
• Experience with modern data platforms (e.g., Databricks, Snowflake, BigQuery)

Education

• Relevant degree or equivalent experience in a related field is preferred.

Tools

• Python, SQL, cloud platforms (Azure, AWS, GCP), data orchestration tools, modern data platforms.