Role: Data Engineer
Location: London, UK
Type of Hiring: Permanent/FTC for 1 year
Salary: GBP80k to GBP85k per annum
Hybrid Model

Job Description:
Data Engineer will be part of the Development team which designs and develops the data platform to provide new BI products or features. As part of a high performing Agile team expectation from Data Engg to continuously deliver new data Products or features. Quality is key for organization and DE will need to take personal pride in writing clean, testable code that his/her team is proud of.

Required Skills/Experience
4-6 or more years experience working as a Data Engineer
Experience of developing in the Azure Modern Data Warehouse platform (e.g., Azure Data Lake, Azure Data Factory, Azure Databricks, Databricks Delta Lake, Synapse Analytics, etc)
Demonstratable experience of managing data using both Python & SQL
Experience building ETLs for Data Warehouses using Kimball methodologies
An understanding of dimensional modelling concepts such as dimensions, facts and slowly changing dimensions
Experienced in real-time and batch mode data ingestion
Experience with JSON, flat file, and XML data structures
Experience handling structured and unstructured datasets
Good knowledge of DevOps tools and processes
An understanding of data Governance, including Master Data Management (MDM) and Data Quality tools and processes
Self-motivated and quick learner
A pragmatic approach to solving problems
Insurance domain Project experience required

Desirable Skills
Experience of data transformation tools such as dbt
Experience in AI and Machine Learning
Experience of data visualisation tools (e.g., PowerBI, QlikView, Tableau etc.)
Experience in the other PowerPlatform tools (PowerApps, Dataverse etc.)
Experience with Azure Cosmos DB or other NoSQL databases
Programming knowledge (Python, C#, Scala etc.)
Good working knowledge of the Scrum framework and the value of Scrum