AEP FAC Data Engineer – End-to-End Federated Audiences

Hirobe Limited; Polska; On-site; PLN 180,000 - 300,000; Full time

Job summary

Hirobe Limited is seeking an experienced AEP Engineer to own the end-to-end Federated Audience Composition (FAC) implementation. You will work across data engineering, marketing teams and business stakeholders to connect, model and transform data into actionable audiences within the Adobe Experience Platform.

The role focuses on building FAC from scratch, integrating with Databricks, and delivering robust data models, validation, and production-ready pipelines across batch and streaming data

Qualifications

• Hands-on Adobe Federated Audience Composition experience.
• Built or implemented FAC, not just worked with AEP or Real-Time CDP.
• Strong SQL and data modelling skills.
• Experience with Databricks and data integration.

Responsibilities

• Own end-to-end FAC implementation from architecture to production.
• Connect FAC with Databricks and manage authentication and access.
• Design federated data models and audience compositions.
• Implement batch and streaming data ingestion into AEP.
• Ensure data quality, monitoring and production-support processes.

Skills

Adobe Experience Platform

Federated Audience Composition (FAC)

Databricks

SQL

Data modelling

Data engineering

Data integration

Batch & streaming pipelines

Problem solving

Job description

Hirobe Limited is seeking an experienced AEP Engineer to own the end-to-end Federated Audience Composition (FAC) implementation. You will work across data engineering, marketing teams and business stakeholders to connect, model and transform data into actionable audiences within the Adobe Experience Platform.

The role focuses on building FAC from scratch, integrating with Databricks, and delivering robust data models, validation, and production-ready pipelines across batch and streaming data