Why this role stands out
Accelerate your career by designing cutting-edge, scalable data platforms within a highly collaborative team that leverages the latest Azure technologies. You will thrive in this role if you are a proactive engineer passionate about building automated pipelines and delivering impactful, data-driven insights. Apply today to sharpen your technical expertise and make a significant contribution to this innovative project.
Quick overview
Job description
Azure Data Engineer - 1/2 days onsite
18 month FTC
Summary:
Join a team building a modern Azure-based data platform. This hands-on engineering role involves designing and developing scalable, automated data pipelines using tools like Data Factory, Databricks, Synapse, and Logic Apps. You'll work across the full data lifecycle - from ingestion to transformation and delivery - enabling smarter, faster insights.
Key Responsibilities
- Develop and maintain data pipelines using Azure services.
- Ingest, transform, and model data from diverse sources.
- Optimise data flows for performance and reliability.
- Support data quality and monitoring processes.
- Collaborate with cross-functional teams in an agile environment.
Collaboration With
- Data Engineers, Architects, Product Owners, Test Analysts, and BI Teams.
Skills & Experience
- Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.).
- Strong SQL and experience with data warehousing (Kimball methodology).
- Programming skills in Python, Scala, or PySpark.
- Familiarity with Power BI, SharePoint, and data integration technologies.
- Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS).
- PowerShell scripting, containerisation, Semarchy MDM, NEC Housing, PL/SQL, and Total Mobile/Repairs solutions.
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