Data Engineer

Role: Azure Data Engineer
Location: WFH
Duration: 6 months
Rate: GBP400 per day Outside IR35 (negotiable)

Essential skills and experience
· Strong technical expertise using core Microsoft Azure data technologies: Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, Purview
· A strong background in Python development, particularly for data engineering, and SQL Experience working with Power BI: Power Query, DAX, Power BI Service
· Experience of team working and task tracking with Azure DevOps following Scrum / Agile methodologies.
· Experience with Azure databases (Synapse EDW, SQL Managed Instance, Azure SQL)
· Excellent communication and interpersonal skills
· Experience with TDD, Continuous Integration, Continuous Deployment, Peer Review, Automated Testing for DataOps solution delivery
Duties
· Engineering cloud-based data lake patterns to connect and leverage organisational & external data
· Capture, Ingest, Process and Store large volumes of data and activate for multiple data science use cases
· Enable higher quality data to be created & managed in our customers organisations and standardise on the definition of business-critical data
· Develop data products that are commercially viable and technically excellent through utilising the (primarily) cloud native patterns available to the market
· Help to diagnose and fix issues in complex technical environments, provide technical support and guidance through prototyping, testing, build, and launch of data products
· Help to understand customer requirements and work collaboratively with other architects and consultants to design data solutions that deliver the expected outcomes.