Data Engineer

Description

Job Summary: We are seeking a Data Engineer to prepare datasets for ML projects, integrate models, and collaborate with interdisciplinary teams in the AI-driven Ad Tech sector. Key Highlights: 1. Be part of an innovative, multidisciplinary team. 2. Work on real-world projects with direct impact on the product. 3. Opportunities for growth and training in cutting-edge technologies. ### **Data Engineer** **Experience: 2\-5 years** **Location:** Hybrid **Contract Type:** Full-time **Sector:** Ad Tech with strong AI component #### **Job Description** We are looking for a **Data Engineer** experienced in preparing datasets for Machine Learning projects and possessing a mindset oriented toward model integration and production deployment. You will join an interdisciplinary team, collaborating closely with Data Scientists and backend developers to ensure data, models, and services are perfectly aligned with our web application. #### **Responsibilities** * Prepare, transform, and maintain datasets for training and evaluating Machine Learning models. * Develop services and endpoints for integrating trained models into a modern web architecture. * Collaborate with the backend team on designing and implementing the data layer and its integration into the application. * Ensure data quality, traceability, and continuous updating of data used in models. * Document processes and uphold best practices in data handling and service deployment. #### **Requirements** * Experience working with programming languages such as **Python** (primary) * Solid knowledge of relational databases, especially **MySQL**. * Familiarity with cloud platforms, particularly **AWS** (S3, Lambda, RDS, etc.). * Experience designing and consuming RESTful APIs. * Ability to work collaboratively and communicate effectively with both technical and non-technical stakeholders. #### **Preferred Qualifications** * Experience with Databricks * Experience with advertising platform APIs * Prior experience in ML or MLOps projects. * Knowledge of data pipeline orchestration. * Experience with data or experiment versioning tools (e.g., DVC, MLflow, etc.). * CI/CD best practices applied to data and model projects. #### **What We Offer** * Join an innovative, multidisciplinary team. * Flexible working hours and hybrid work options. * Real-world projects with direct impact on the product. * Opportunities for growth and training in cutting-edge technologies.