Senior Data Engineer - Mobile Apps

Job Overview

This role is offered on behalf of a partner company based in Australia seeking a Senior Data Engineer specializing in mobile applications. The position involves creating and managing dependable data infrastructure crucial for marketing, payment processing, product analytics, and informed business decisions.

Key Responsibilities

• Develop and sustain robust data pipelines that facilitate daily reports, attribution assessments, lifetime value (LTV) analytics, and other essential business functions.
• Import and transform datasets from advertising platforms, payment gateways, and product backends into modern Databricks cloud environments.
• Manage scheduled data workflows through Apache Airflow, ensuring timely and accurate completion of vital tasks.
• Keep silver and gold data tables precise and reliable while enforcing comprehensive data quality checks and continuous monitoring.
• Promptly identify, diagnose, and resolve issues in data pipelines and production, including meeting deadlines for failed daily job recoveries.
• Enhance processes, implement new tools, and refine data solutions to boost operational effectiveness and adapt to changing business demands.
• Collaborate with cross-functional teams—Analytics, Marketing, Data Science, Product, and Engineering—to capture requirements and determine the best technical strategies.
• Efficiently prioritize multiple tasks ensuring the highest standards of data integrity, reliability, and timely delivery.
• Contribute to advancing data engineering methodologies and practices within an agile development framework.
• Understand the business implications of data including marketing expenditures, subscription models, payment performance, and attribution mechanics.

Qualifications and Skills

• Demonstrated expertise in data engineering with significant hands-on experience in Python, SQL, Apache Spark, and Databricks.
• Proficient with Databricks features like Unity Catalog and Delta Lake.
• Experience in orchestrating workflows and scheduled pipelines using Apache Airflow in production environments.
• Familiarity with Google Cloud Platform services, especially Google Cloud Storage and BigQuery.
• Strong analytical capabilities coupled with a systematic approach for solving complex technical problems.
• Experience assuming full responsibility for production data environments including monitoring, alerts, incident management, and data quality assurance.
• Excellent interpersonal and communication skills to liaise effectively across diverse teams and senior stakeholders.
• Advanced command of English, both written and spoken, suitable for an international and multicultural working environment.
• Comfortable working with agile methodologies and juggling multiple projects simultaneously without diminishing quality.
• A curious mindset about the commercial context behind the data, particularly around marketing budgets, subscription services, payments, and attribution modeling.
• Additional advantages include experience with dbt and integrating APIs from advertising or payment platforms such as Google Ads, Stripe, or RevenueCat.

Benefits and Work Conditions

• Competitive remuneration with full-time, permanent status.
• Remote work flexibility with options for fully remote arrangements.
• Flexible working hours to promote a healthy work-life balance.
• Shorter work hours on Fridays with a 7-hour workday.
• Reduced 35-hour workweeks during July and August.
• Generous leave entitlements including 25 days plus a birthday off.
• Vacation policies without blackout periods for maximum flexibility.
• Comprehensive private health coverage including dental and mental health services.
• Personalized internal training programs and an annual stipend for external education.
• Opportunities for ongoing professional growth and learning support.
• Optional access to a Barcelona office featuring free snacks, coffee, recreational amenities, and a rooftop terrace.
• Additional benefits include meal tickets and childcare vouchers aligned with salary benefits.
• An inclusive, diverse workplace culture fostering cooperation across international teams on meaningful digital products.

Additional Information

This posting is managed by Jobgether's selection technology, which applies AI to objectively match candidates with the role’s essential requirements. However, all final recruitment decisions, including interviews and further assessments, are handled by the hiring company directly. Applicant data is processed in compliance with relevant data privacy laws including GDPR, with opportunities to access and manage personal data rights. AI tools may assist in reviewing applications but do not replace human decision-making.