MYO Talent
Data Engineer – Azure Databricks / Python – Financial Services - 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 within the financial services sector, offering a 2-3 month remote contract at £350-500 per day. Key skills include Azure, Databricks, Python, and experience in banking or insurance.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
480
-
🗓️ - Date
June 4, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Azure Databricks #Python #Data Cleansing #PySpark #Batch #Spark (Apache Spark) #Monitoring #Integration Testing #Metadata #Storage #Azure #API (Application Programming Interface) #Data Governance #Schema Design #Logging #Data Lake #Azure ADLS (Azure Data Lake Storage) #Databricks #Data Engineering #"ETL (Extract #Transform #Load)" #ADLS (Azure Data Lake Storage)
Role description
Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / Financial Services (Insurance, Banking etc) – 2-3 month contract / Outside IR35 / Fully remote / £350 – 500 per day.
One of our leading clients is looking to recruit a Data Engineer.
Location – fully remote / home based
Duration – 2-3 months plus possible extension
Day Rate – £350-500 per day 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 – Insurance or Banking etc
Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / Financial Services (Insurance, Banking etc) – 2-3 month contract / Outside IR35 / Fully remote / £350 – 500 per day.
One of our leading clients is looking to recruit a Data Engineer.
Location – fully remote / home based
Duration – 2-3 months plus possible extension
Day Rate – £350-500 per day 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 – Insurance or Banking etc
