MarTech Data Engineer (all genders)

• Take ownership of end-to-end data flows, from ingestion and transformation to activation, ensuring that marketing and product teams can rely on trusted, high-quality data. 
• Build, optimize, and maintain scalable data pipelines connecting Snowflake, Hightouch, Outreach, Braze, AWS, Exasol, BigQuery, and other systems at the core of our Marketing Engagement Platform. 
• Design efficient and cost-optimized datasets with appropriate partitioning strategies, automated scheduling (Airflow), and pipelining frameworks (Spark, dbt). 
• Ensure that data ingested into third-party marketing tools is clean, accurate, and actionable, enabling precise targeting, meaningful personalization, and reliable reporting. 
• Develop a deep understanding of the data landscape, translating complex or ambiguous requirements into clear, prioritized engineering tasks. 
• Proactively monitor, optimize, and scale systems, applying best practices to maintain performance, stability, and data integrity as the platform grows. 

FOR THIS EXCITING MISSION YOU ARE EQUIPPED WITH...

• Must have: Experience working in cloud environments, ideally with AWS and Google Cloud Platform, and a solid understanding of the data products and services offered within these ecosystems. 
• Must have: Strong command of SQL, combined with proficiency in Spark and Python for data transformation, automation, and process optimization. 
• Must have: Expertise in data warehousing and ETL design and implementation. 
• Hands-on experience with third-party tools used by non-technical stakeholders. You are comfortable exploring these tools to validate data, ensure accuracy, and troubleshoot issues. Experience with Braze or other CRM platforms is a strong plus. 
• Excellent technical design and documentation skills, ensuring clarity, maintainability, and scalability across the data ecosystem. 
• Ability to build, maintain, and monitor a modern data tech stack, ensuring platform stability, scalability, and alignment with technical and business needs. 
• Experience with collaborative development practices using Git or similar version control systems. 
• Fluency in English, both verbal and written, with the ability to communicate clearly and confidently in technical and business contexts.