Senior Data Engineer - Mobile Apps [Remote]

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 Australia.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.