Specialist Engineer - Data
Core
Architect and build scalable ETL/ELT data pipelines and data-driven solutions on Azure and GCP to support enterprise BI, reporting, and AI/ML workloads.
Role type
Senior Data Engineer (Cloud & MLOps)
Builds
Production-grade data pipelines, feature stores, vector database integrations, and ML model deployment services.
Domain
Cloud Data Engineering, Multi-cloud (Azure/GCP), AI/ML Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud data platform design (Azure/GCP), SQL, Python, ELT methodologies, Data modeling, Workflow orchestration, MLOps, Vector database integration, Security & Governance
Preferred skills
Experience with dbt, Feature engineering, RAG solutions, CI/CD for ML
Technologies
Azure Data Factory, Azure Synapse, Databricks, GCP Dataflow, BigQuery, Snowflake, Apache Airflow, dbt, Power BI, Looker, Azure Cosmos DB, GCP Vertex AI
Responsibilities
Design and optimize ETL/ELT pipelines for large-scale data ingestion; Develop and maintain data models for BI and analytical workloads; Implement feature stores and vector database pipelines for AI/ML; Deploy and monitor machine learning models in production environments; Automate data lifecycles and ML workflows using orchestration tools.
Seniority
Senior, hands-on IC