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Data Engineer
Negotiable Salary
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

### **About the Company** Scaleo is a fast\-growing SaaS company on a mission to build the best affiliate marketing software on the market. Our platform powers affiliate programs for clients across Europe, the UK, the US, Asia, and Australia, processing millions of daily requests and trusted by thousands of users. We were recognized as a High Performer by G2 (Summer 2024\) and we're just getting started. If you're passionate about great software, fast\-paced teams, and helping customers succeed \- we'd love to meet you. ### **About the Role** Join Scaleo's Intelligence team and help build the predictive data layer that powers real\-time insights for affiliates and operators in the iGaming ecosystem. You'll design and manage scalable data pipelines, prepare ML\-ready datasets, and integrate forecast and anomaly signals into our analytics stack. You'll work closely with our data architect to scale the infrastructure and evolve the system toward in\-house ML. ### **What You'll Do** * Own data models and pipelines that power forecasting, anomaly detection, and dashboarding * Build and orchestrate jobs to deliver clean, reliable, ML\-ready data * Persist and serve prediction outputs across multiple modules (dashboards, alerts, copilot) * Collaborate on future\-proofing the stack for more advanced ML use cases ### **Our Stack** * ClickHouse, S3, dbt, Airflow (MWAA) * MLflow (light), Kinesis, CloudWatch * Potential expansion to Snowflake or modern DWHs ### **You Might Be a Fit If You:** * Are fluent in SQL and Python * Have experience building data pipelines (Airflow, dbt, etc.) * Know how to structure data for ML and analytics use cases Like working in fast\-moving teams building 0 1 product * #### **Why You'll Love Working at Scaleo** * Remote\-first team * A collaborative culture that values autonomy and initiative * Fast\-moving product that's solving real customer problems * Small team, big impact \- your work will be seen and appreciated

Source:  indeed View original post
David Muñoz
Indeed · HR

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