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Senior Data Engineer - Mobile Apps

jobgether · South Africa

RemoteImported listingfull-time3 days ago

About The Role

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 South Africa.

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.

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