What are the responsibilities and job description for the Azure Data Engineer position 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
Required Skills & Experience
Tech Breakdown
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
- 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
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
- 60% - Data pipeline development and cloud architecture
- 20% - Performance tuning, data governance, and security
- 20% - Collaboration with data scientists, DevOps, and business stakeholders