Data Engineer (Azure) – Freelance / Remote
Job Description:
We are looking for a Sr. Data Engineer to design and build modern data platforms on Azure. This role focuses on transforming raw data into reliable, scalable, and analytics-ready foundations that support reporting, advanced analytics, and AI-driven use cases.
This is a hands-on engineering role, not just conceptual design. The candidate must be comfortable working across ingestion, transformation, modeling, orchestration, and data quality.
Target profile for this role: Senior Data Engineer (5+ years)
Core Responsibilities
1. Data Engineering & Pipelines
Design and implement ETL / ELT pipelines (batch and optional streaming)
Build transformations using Python, PySpark, SQL
Orchestrate workflows using Azure tools
Integrate data from multiple structured and semi-structured sources
2. Data Architecture
Design and maintain data lakes / lakehouse architectures
Implement medallion architecture (bronze, silver, gold)
Define reusable data models for analytics and AI
3. Analytics Enablement
Build dimensional and analytical models
Support Power BI semantic models
Ensure data usability for reporting and dashboards
4. Azure Platform Implementation
Configure and manage Azure data services
Handle storage, compute, orchestration, and security
Ensure production-ready deployments
5. Data Quality & Testing
- Implement:
Data validation rules
Pipeline testing (unit + integration)
Monitoring and alerting
Logging and error handling
Required Skills (Senior Level)
- Strong experience with:
Python (data engineering)
PySpark
Advanced SQL
- Hands-on with:
Azure Data Factory
ADLS Gen2
Databricks / Synapse / Microsoft Fabric
Git workflows
- Experience with:
Delta Lake / lakehouse architectures
Medallion architecture
Power BI (DAX + semantic modeling)
Nice to Have
CI/CD for data pipelines
Azure Key Vault
Data governance / cataloging
Performance optimization in Spark or Power BI
- Experience in distributed teams
Language Requirements
English: B1–B2 minimum
Spanish: Native / Fluent
Working Model
Remote (full-time dedication expected)
Freelance / contractor (AOR model possible)
Long-term collaboration opportunity