Senior Data Engineer

Summary

Join Inkitt, a rapidly growing entertainment company leveraging AI and predictive algorithms to discover and produce blockbuster stories, as a Data Engineer based in Mexico City. You will play a key role in designing, developing, and maintaining scalable data pipelines using Airflow, Python, and dbt. Collaborate with cross-functional teams to understand data needs, establish data quality standards, and build robust data architectures. This position requires expertise in data platforms and pipelines, proficiency in Airflow, dbt, Python, and SQL, and fluency in English. The salary range is $75,000-$97,000 annually, and Inkitt fosters a diverse and inclusive company culture.

Requirements

• Expertise in designing, building, maintaining, and improving data platforms and pipelines
• Advanced knowledge of and experience with tools like Airflow and dbt
• Expertise in Python and SQL for data engineering tasks
• Experience in working in a dynamic and fast-paced startup environment
• Fluency in English is essential, as you’ll collaborate daily with English-speaking colleagues across Europe and the U.S

Responsibilities

• Design, develop, and maintain scalable data pipelines using Airflow, Python, and dbt to support data processing
• Continuously improve data pipeline performance, troubleshoot issues, and implement monitoring to maintain platform reliability
• Collaborate with data engineers, product analysts, product managers, and other stakeholders to understand current and future data needs
• Establish and enforce data quality standards throughout the ETL process
• Design and implement robust, scalable, and maintainable data architectures
• Enable stakeholders to make data-driven decisions on data that is reliable, fast, and readily available

Benefits

$75,000 - $97,000 a year