Senior Data Engineer - Mobile Apps

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer - Mobile Apps based in Mexico.

As a Senior Data Engineer, you will help build and operate reliable data infrastructure that supports marketing, payments, product analytics, and business <decision-making.You> will design and maintain data pipelines that ingest information from advertising platforms, payment systems, and product backends into modern cloud data environments.The role combines hands-on engineering with production ownership, ensuring critical reporting, attribution, and LTV data remains accurate and available on <time.You> will work closely with Analytics, Marketing, Data Science, Product, and Engineering teams to translate business needs into scalable data <solutions.You> will troubleshoot complex pipeline issues, strengthen data quality, and continuously improve the reliability and efficiency of data processes.Beyond the technology, you will develop a strong understanding of the business context behind the data, including marketing spend, subscriptions, and attribution.This is an opportunity to make a direct impact in a collaborative, international environment while working with modern data engineering technologies.

Accountabilities

• Build, maintain, and operate reliable data pipelines that support daily reporting, attribution, LTV analysis, and other critical business use cases.
• Ingest and transform data from advertising platforms, payment systems, and product backends into Databricks-based data environments.
• Orchestrate scheduled data workflows using Apache Airflow and ensure critical jobs complete accurately and on time.
• Maintain accurate and reliable silver and gold data tables while implementing appropriate data quality checks and monitoring.
• Proactively identify, troubleshoot, and resolve pipeline and production issues, including recovering failed daily runs within required timelines.
• Develop and improve processes, tools, and data solutions that enhance operational efficiency and support evolving business requirements.
• Collaborate with Analytics, Marketing, Data Science, Product, Engineering, and other stakeholders to understand requirements and evaluate technical approaches.
• Balance multiple projects and priorities while maintaining high standards of data quality, reliability, and delivery.
• Contribute to the continuous improvement of data engineering practices, processes, and methodologies within an agile environment.
• Apply a business-oriented perspective to data engineering, understanding how marketing investment, subscriptions, payments, and attribution influence organizational performance.

Requirements

• Proven experience in data engineering, with strong hands-on expertise in Python, SQL, Spark, and Databricks.
• Experience working with Databricks technologies such as Unity Catalog and Delta.
• Practical experience with Apache Airflow for workflow orchestration and scheduled production data pipelines.
• Experience with Google Cloud Platform, particularly Google Cloud Storage (GCS) and BigQuery.
• Strong analytical and problem-solving abilities, with a strategic and structured approach to resolving complex technical challenges.
• Experience taking ownership of production data environments, including scheduled jobs, data quality checks, alerting, monitoring, and incident resolution.
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional stakeholders at different levels.
• Advanced English proficiency, both written and spoken, for clear communication in an international working environment.
• Solid understanding of agile methodologies and the ability to manage multiple projects without compromising quality.
• Curiosity about the business context behind data, with an interest in areas such as marketing spend, subscriptions, payments, and attribution.
• Experience with dbt and APIs from advertising or payment platforms such as Google Ads, Stripe, RevenueCat, or similar is a plus.

Benefits

• Competitive salary and full-time permanent employment.
• Flexible working arrangements with the option to work fully remotely.
• Flexible start and end times to support work-life balance.
• Free Friday afternoons through a 7-hour workday.
• 35-hour workweek during July and August.
• 25 days of vacation plus an additional day off for your birthday.
• Flexible vacation options without blackout days.
• Private health insurance, including dental and psychological services.
• Personalized internal training and an annual budget for external learning opportunities.
• Professional development opportunities and support for continuous learning.
• Optional access to a Barcelona office with free coffee, fresh fruit, snacks, a game room, and a rooftop terrace.
• Ticket restaurant and nursery vouchers available through salary-related benefits.
• Opportunity to collaborate with an international, multicultural team on impactful digital products.
• Inclusive environment that welcomes people from diverse backgrounds and experiences.