Job Description

We’re searching for a Data Engineer with deep Azure expertise to help power a growing enterprise’s digital transformation. You’ll work with modern Azure tools— Data Factory, Synapse, Databricks, Data Lake, and Azure SQL —to build large-scale, cloud-native data pipelines and infrastructure. This is a full-time opportunity to design the architecture that supports everything from business intelligence to advanced AI and RAG-based applications .
This role is about more than just building data pipelines—it’s about solving hard problems at scale and working at the intersection of data, AI, and business strategy . You’ll be part of a collaborative digital technology team, partnering closely with analysts, data scientists, and DevOps engineers to unlock smarter decisions. If you’re excited by the chance to lead Azure-driven data innovation, streamline performance, and help drive machine learning initiatives—this is your kind of challenge.
Contract Duration
Required Skills & Experience
3–5 years of professional data engineering experience
Proven hands-on work with Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL
Strong SQL, Python, and/or Spark skills
Experience building and managing robust ETL/ELT pipelines
Familiarity with Azure RBAC, encryption, and regulatory frameworks like GDPR or HIPAA
Experience with CI/CD, version control (Git), and tools like Azure DevOps
Strong data modeling, transformation, and performance optimization skills
Desired Skills & Experience
Experience with real-time streaming (e.g., Event Hubs, Kafka, IoT Hub)
Exposure to Azure ML, OpenAI, or other AI/ML frameworks
Background in BI tools like Power BI or Tableau
Familiarity with data governance, metadata management, and quality assurance
Bonus points for experience in manufacturing or service industries
What You Will Be Doing
Tech Breakdown
60% - Azure Data Factory, Synapse, Databricks, Data Lake, Azure SQL
20% - Azure DevOps, Git, Terraform, CI/CD pipelines
20% - BI and AI enablement, including integration with RAG and Azure ML
Daily Responsibilities
60% - Data pipeline development and cloud architecture
20% - Performance tuning, data governance, and security
20% - Collaboration with data scientists, DevOps, and business stakeholders
Posted By: Ben Farsolas

Job Tags

Full time, Contract work,

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