Senior Data Engineer - Mobile Apps

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.

• 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.

This listing is from Lever. View original listing ↗