Data Engineer
Core
Designing and building data collection processes from diverse sources (APIs, reports, external systems), implementing data connectors, and managing the end-to-end lifecycle of ML models including deployment and monitoring.
Role type
Data Engineer with MLOps and LLM integration focus
Builds
Production data pipelines, data connectors, and managed ML model environments
Domain
Digital marketing, advertising, and data analytics
Deliverable
production ML models | data infrastructure
Required skills
Python (API handling, data processing), SQL, Google Cloud Platform (GCP), Microsoft Fabric, data orchestration tools, end-to-end project design
Preferred skills
Machine Learning model deployment and maintenance, MLOps practices, Large Language Models (LLM) and RAG implementation
Technologies
Google Cloud Platform, Microsoft Fabric, BigQuery, Vertex AI, MLflow, scikit-learn, Git, CI/CD tools
Responsibilities
Design and build data collection processes from various sources; Implement and maintain data connectors via APIs; Load, validate, and process data in the cloud; Structure and transform data for analysis and ML projects; Manage the ML model lifecycle (deployment, monitoring, versioning); Collaborate with analysts and business teams on data-driven solutions
Seniority
Mid-level (minimum 2 years experience)
