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:
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 #LI-BF1
Posted by:
Ben Farsolas
Specialization :
Data Engineering
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 #LI-BF1
Posted by:
Ben Farsolas
Specialization :
Data Engineering