Marketing Backend Engineer
LABHOUSE · Remote · Spain (Remote) ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Remote within Spain
- TypeScript, Python, Go
- Attribution systems expert
- Ad network integrations
- Flexible working hours
You will lead the technical strategy for end-to-end attribution and signal processing, serving as the internal expert on best practices. Your work ensures accurate data flow between mobile applications and major advertising platforms through robust server-side implementations.
The position requires balancing scalability, reliability, and business impact while maintaining high-quality monitoring and debugging pipelines. You will collaborate with product and marketing teams to optimize campaign performance and drive product-led growth.
What you'll do
- Own end-to-end attribution and signals system architecture
- Implement and refine attribution models using Appsflyer and GA4
- Design server-to-server integrations with Meta, Google, and TikTok
- Monitor and debug data discrepancies between internal and external platforms
- Improve signal quality through custom pipelines and experimentation
- Make architectural decisions balancing scalability and maintainability
What you'll need
- Strong knowledge of tracking mechanisms like pixels, UTMs, and SKAN
- Experience sending signals from mobile apps to ad networks via APIs
- Proficiency in REST APIs, webhooks, and serverless environments
- Solid understanding of SQL and NoSQL database systems
- Backend development skills in TypeScript, Python, or Go
- Fluent spoken and written English communication skills
- Ability to work autonomously in fast-paced, ambiguous settings
Stack
- TypeScript
- Python
- Go
- Appsflyer
- GA4
- Meta CAPI
- TikTok CAPI
- Google Ads API
- SQL
- NoSQL
How you'll work
- Remote work available from anywhere in Spain
- Office attendance twice weekly if based in Barcelona
- Flexible working hours schedule
- Permanent contract employment type
What you get
- High-end equipment provided for development
- Competitive compensation package
- Opportunity to integrate AI models into new products
- Collaborative entrepreneurial team environment
Hiring process
- Initial TA interview for background overview
- Interview with CEO and Product team
- Technical case study exercise
- Final alignment interview