Data Engineer – Azure / Databricks / Remote
other jobs MYO Talent
Added before 12 Days
- England,South East,Hampshire,Southampton
- Full Time, Contract
- £400 - £500 per day
Job Description:
Full job descriptionData Engineer – Azure / Databricks / 3-month contract / Remote
Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / API / Azure API Management (APIM) / Python / 3-month contract / Outside IR35 / Fully remote / £400 – 500 per day.
One of our leading clients is looking to recruit a Data Engineer.
Location – Remote / home based / WFH
Duration – Initial 3 month
Day Rate – £400-500 per day Outside IR35
Role / Responsibilities:
*Define and build a data lake architecture on Azure (ADLS + Databricks)
*Layered data model (bronze / silver / gold) for ingestion, processing, and reporting
*Develop ingestion patterns from API sources (batch and streaming)
*Establish data governance, metadata, and access controls
*Define storage structures, naming conventions, and schema design
*Develop API connectors and ingestion pipelines using Python
*Implement integration services feeding into the Databricks environment
*Build data transformation logic using PySpark / Python (data cleansing, standardisation, validation)
*Configure monitoring, logging, and alerting
*Execute unit and integration testing across pipelines
Core Skills:
*Azure
*Databricks
*Python
Desirable:
*Any exposure to Financial Services, Insurance or Bank/Banking would be beneficial but not essential
Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / API / Azure API Management (APIM) / Python / 3-month contract / Outside IR35 / Fully remote / £400 – 500 per day.
One of our leading clients is looking to recruit a Data Engineer.
Location – Remote / home based / WFH
Duration – Initial 3 month
Day Rate – £400-500 per day Outside IR35
Role / Responsibilities:
*Define and build a data lake architecture on Azure (ADLS + Databricks)
*Layered data model (bronze / silver / gold) for ingestion, processing, and reporting
*Develop ingestion patterns from API sources (batch and streaming)
*Establish data governance, metadata, and access controls
*Define storage structures, naming conventions, and schema design
*Develop API connectors and ingestion pipelines using Python
*Implement integration services feeding into the Databricks environment
*Build data transformation logic using PySpark / Python (data cleansing, standardisation, validation)
*Configure monitoring, logging, and alerting
*Execute unit and integration testing across pipelines
Core Skills:
*Azure
*Databricks
*Python
Desirable:
*Any exposure to Financial Services, Insurance or Bank/Banking would be beneficial but not essential
Job number 4078220
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