Azure Data Engineer – Data Factory / Databricks / Data Lake
Azure Data Engineer – Data Factory / Databricks / Data Lake is required on a permanent basis to join an innovative Azure born FinTech company based from their Central London headquarters.
With a start-up feel to the business there is no better time for an Azure Data Engineer to join the business as they look to further develop and modernise their SQL Azure data platform estate.
As the Azure Data Engineer, you will be working in a rapidly growing Data Services/Platform department alongside two other Azure Data Engineers, one who is a specialist in Cubes and SSAS and the other who is more of a specialist in data visualisation and reporting (Power BI). This leave a gap for an Azure Data Engineer who is passionate about all things data integration, ETL, SSIS, Data Warehousing, Data Factory, etc… However, your role as Azure Data Engineer will not be limited to just the integration part of the role as everyone in the team chips in with each other’s work!
Essential experience required:
• Proven hands on business intelligence development or data engineering experience;
• Extensive ETL experience;
• Solid experience with data modelling, data warehouse design and data lake concepts and practices;
• Exposure working in a Microsoft Azure Data Platform environment;
o Azure Data Factory
o Azure Storage (Blob or Data Lake)
o Azure Functions
o SQL Azure DB
o SQL Azure DW.
Extra points for:
• Working on cloud-based big data solutions using Hadoop/Spark;
• SSAS cube development;
• Enterprise BI reporting – Power BI;
• Azure DevOps – CI/CD.
This is a fantastic opportunity for a dynamic Azure Data Engineer who is looking for an exciting career in a highly professional yet fun and friendly environment. It is also a fantastic opportunity to keep up to date with the hottest and bleeding edge technologies that Microsoft have to offer.
A basic salary between £60,000 – £75,000 plus share options and other benefits is on offer!
To find out more about this role, please send your CV to Lewis Blades for review as initial interviews with the client are being arranged ASAP.
Key skills: Microsoft / SQL Server / Data Services / ETL / Extract Transform Load / SSIS / Data Engineering / SSAS / Cube / MDX / Data Warehouse / Analytics / DWH / Data Warehouse / Azure / Data Factory / ADF / Databricks / Data Lake / Blob Storage / Data Platform / Power BI / DWH / FinTech / London