Data Engineer - Azure Data Factory & Databricks
Rate: £400 - £440 a day (Inside IR35)
Location: Fully remote within the UK
Duration: Initially 3 months with extension highly likely.
You will join a global IT consultancy delivering digital transformation to a national retail chain.
Role description:
As a Senior Data Engineer your primary focus will be the data, the platform we handle data with, the integrity of data and the security of data. You will be instrumental in the analysis, design, build and repeatable testing of tools, frameworks and delivery for data transformation, data migrations and other data services artefacts
Document the data processing logic according to agreed documentation standards. This is to include requirements, solutions, reconciliation, execution, reporting, low level ETL logic, as well as other surrounding data services artefacts or infrastructure.
Fully understand business data requirements and seamlessly convert these into real solutions which can be utilised across the organisationKey Skills
Strong technical ability and understanding of how databases work as well as the use of data software (ETL packages) and programming languages (usually SQL & Python) to develop tools to extract, transform and load data, as well as to document the creation of these tools.
Proficient capability to understand business processes in detail to apply knowledge, understand and create requirements, apply them to a tool design and execute its build
Experience in some or all of the following: Azure Data Lake, Azure Data Factory, Azure Databricks (inc. Python and SQL) Azure SQL Server, Azure DevOps/Git
Excellent communication skills as you will need to discuss technical principles and business processes in simple language to people at all levels