About SplitMetrics
SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: * SplitMetrics Acquire, a platform for automating and optimizing Apple Ads. * SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. * SplitMetrics Optimize, an A/B testing platform recognized as the ASO Tool of the Year. * App Radar by SplitMetrics: an ASO platform with advanced keyword and competitor insights.
Why SplitMetrics?
- For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies.
- An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.
- Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more.
- Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem.
- Integrated AI into our strategic approach since 2023.
- Effectively collaborate across 20+ countries with a remote-first and supportive culture.
Role Responsibilities
We're searching for a Senior Backend Engineer with data engineering experience to join our Platform team. In this role you will: * Build scalable, high-load systems in Python. * Work with big data: adapt the product to process 200–400M+ records per day. * Design and develop integrations with multiple external channels behind a unified, channel-agnostic data model and API. * Ensure data quality and consistency across channels: validation, reconciliation, monitoring of freshness and completeness. * Build and maintain data pipelines: ingestion, normalization, deduplication and backfills. * Improve system reliability, observability and cost efficiency. * Design, build, deploy, monitor and maintain products. * Rewrite legacy systems with modern technologies.
Our Culture
At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors: * Move Fast * Get Sh*t Done * Build Together * Strive for Transparency * Own What You Do * Learn + Share = Excel
What is there for you?
- Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation.
- Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being.
- Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development.
- Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program.
- Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback.
- Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment.
- Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.
About you:
- 5+ years of commercial experience with Python.
- Excellent knowledge of raw SQL.
- Experience with data stores like PostgreSQL (deep understanding of engine, performance optimization).
- Experience in building solutions based on microservices and scaling such systems.
- Experience with modern CI/CD approaches and tools.
- Experience setting up and improving the development process.
- Strong focus on business implications when making decisions on architecture.
- Hands-on experience building data pipelines and ETL/ELT processes at scale.
- Experience integrating with many external APIs and designing a unified abstraction layer over heterogeneous data sources.
Nice to have:
- Experience with analytical/columnar storage (ClickHouse, BigQuery, Snowflake, Redshift).
- Experience with message brokers.
- Domain knowledge in AdTech / mobile marketing (ad networks, attribution, MMPs).
- Experience with async Python for high-throughput API ingestion.
- Experience building LLM-powered features or AI agents on top of production data.
- Experience with Kubernetes, Docker and cloud platforms (AWS / GCP).
- Experience building MCP servers that expose platform data and actions to AI agents and LLM tools.
- Experience with observability tools (Grafana, Datadog).
