

MYO Talent
Data Engineer – Azure Databricks / Python / Insurance - Outside IR35 - Remote - 2-3 Month Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Azure Databricks and Python, requiring 2-3 months of remote work, with a pay rate outside IR35. Key skills include data lake architecture, ingestion pipelines, and experience in the insurance sector.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
600
-
🗓️ - Date
June 10, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
England, United Kingdom
-
🧠 - Skills detailed
#Data Lake #Integration Testing #API (Application Programming Interface) #PySpark #Azure ADLS (Azure Data Lake Storage) #Data Cleansing #Logging #Data Governance #Azure Databricks #"ETL (Extract #Transform #Load)" #Python #ADLS (Azure Data Lake Storage) #Spark (Apache Spark) #Batch #Data Engineering #Azure #Storage #Databricks #Metadata #Schema Design #Monitoring
Role description
Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / Insurance / Financial Services / 2-3 month contract / Outside IR35 / Fully remote
One of our leading clients is looking to recruit a Data Engineer.
Location – fully remote / home based
Duration – 2-3 months plus possible extension
Outside IR35
Role / Responsibilities:
• Define and build a data lake architecture on Azure (ADLS + Databricks)
• Implement 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
Experience:
• Azure
• Databricks
• Python
• Financial Services sector experience – Ideally Insurance / General or Life Insurance
Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / Insurance / Financial Services / 2-3 month contract / Outside IR35 / Fully remote
One of our leading clients is looking to recruit a Data Engineer.
Location – fully remote / home based
Duration – 2-3 months plus possible extension
Outside IR35
Role / Responsibilities:
• Define and build a data lake architecture on Azure (ADLS + Databricks)
• Implement 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
Experience:
• Azure
• Databricks
• Python
• Financial Services sector experience – Ideally Insurance / General or Life Insurance






