Motion Recruitment
Join to apply for the
Azure Data Engineer
role at
Motion Recruitment . 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
and
Required Skills & Experience
details are listed below. Responsibilities
60% – Data pipeline development and cloud architecture using Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL 20% – CI/CD pipelines with Azure DevOps, Git, and Terraform 20% – BI and AI enablement, including integration with RAG and Azure ML What You Will Be Doing
60% - Data pipeline development and cloud architecture 20% - Performance tuning, data governance, and security 20% - Collaboration with data scientists, DevOps, and business stakeholders Required Skills & Experience
3–5 years of professional data engineering experience Hands-on experience 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 Posted By
Posted By: Ben Farsolas Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Staffing and Recruiting Referrals increase your chances of interviewing at Motion Recruitment. Get notified about new Data Engineer jobs in
Elgin, IL .
#J-18808-Ljbffr
Azure Data Engineer
role at
Motion Recruitment . 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
and
Required Skills & Experience
details are listed below. Responsibilities
60% – Data pipeline development and cloud architecture using Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL 20% – CI/CD pipelines with Azure DevOps, Git, and Terraform 20% – BI and AI enablement, including integration with RAG and Azure ML What You Will Be Doing
60% - Data pipeline development and cloud architecture 20% - Performance tuning, data governance, and security 20% - Collaboration with data scientists, DevOps, and business stakeholders Required Skills & Experience
3–5 years of professional data engineering experience Hands-on experience 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 Posted By
Posted By: Ben Farsolas Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
Staffing and Recruiting Referrals increase your chances of interviewing at Motion Recruitment. Get notified about new Data Engineer jobs in
Elgin, IL .
#J-18808-Ljbffr