Infoplus Technologies UK Limited
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer (L3) with a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure Data Factory, Databricks, advanced SQL, ETL processes, and data integration expertise. Industry experience in data management is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 29, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Horsham, England, United Kingdom
-
🧠 - Skills detailed
#Deployment #Databricks #AI (Artificial Intelligence) #Data Management #ADF (Azure Data Factory) #Data Engineering #Computer Science #SQL (Structured Query Language) #Data Extraction #Data Integration #"ETL (Extract #Transform #Load)" #Azure Data Factory #Data Architecture #Azure #Azure Databricks
Role description
Data Integration lead (L3)
Responsibilities:
1. Drive the change in data integration.
1. Transform data into actionable insights.
1. Operate within the sphere of data management and computer science.
1. Offer expertise in crafting data strategies that align with business goals.
1. Ensure that data from disparate sources is coherently combined
Must have skills:
1. Azure Data Factory and Databricks Expertise: Skilled in building, managing, and optimizing pipelines, workflows, and clusters.
1. SQL Proficiency: Advanced skills in writing, troubleshooting, and optimizing queries for performance
1. Ability to leverage various ingestion frameworks and methodologies.
1. Proficiency in strengthening business strategies by leveraging data architecture and data modelling principles.
1. Knowledge of data extraction, transformation, and load (ETL) processes.
1. Deep understanding of Azure, Databricks
1. Experience with continuous integration and deployment pipelines.
1. Ability to integrate AI development for streamlined delivery
Data Integration lead (L3)
Responsibilities:
1. Drive the change in data integration.
1. Transform data into actionable insights.
1. Operate within the sphere of data management and computer science.
1. Offer expertise in crafting data strategies that align with business goals.
1. Ensure that data from disparate sources is coherently combined
Must have skills:
1. Azure Data Factory and Databricks Expertise: Skilled in building, managing, and optimizing pipelines, workflows, and clusters.
1. SQL Proficiency: Advanced skills in writing, troubleshooting, and optimizing queries for performance
1. Ability to leverage various ingestion frameworks and methodologies.
1. Proficiency in strengthening business strategies by leveraging data architecture and data modelling principles.
1. Knowledge of data extraction, transformation, and load (ETL) processes.
1. Deep understanding of Azure, Databricks
1. Experience with continuous integration and deployment pipelines.
1. Ability to integrate AI development for streamlined delivery
