Lead - Data Integration

Mpower Plus UK Ltd

Charing Cross, United Kingdom

yesterday

Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Charing Cross, United Kingdom

Artificial Intelligence

Azure

Continuous Delivery

Data Architecture

Data Integration

ETL

Data Mining

Query Optimization

SQL Databases

Systems Integration

Data Processing

Data Ingestion

Azure

Data Pipelines

Databricks

Hands-on experience working with Azure Data Factory and Databricks, including designing, deploying, and optimizing data pipelines, workflows, and compute clusters
Strong proficiency in SQL, with the ability to write efficient queries, troubleshoot issues, and improve performance
Experience using a variety of data ingestion techniques and frameworks to integrate data from multiple sources
Solid understanding of data architecture and data modelling, with the ability to align solutions to business objectives
Good knowledge of ETL processes, covering data extraction, transformation, and loading across different environments
In-depth familiarity with the Azure ecosystem and Databricks platform for scalable data solutions
Experience implementing CI/CD pipelines to support automated development, testing, and deployment
Exposure to integrating AI-driven capabilities to enhance data processing and delivery efficiency

Hands-on experience working with Azure Data Factory and Databricks, including designing, deploying, and optimizing data pipelines, workflows, and compute clusters
Strong proficiency in SQL, with the ability to write efficient queries, troubleshoot issues, and improve performance
Experience using a variety of data ingestion techniques and frameworks to integrate data from multiple sources
Solid understanding of data architecture and data modelling, with the ability to align solutions to business objectives
Good knowledge of ETL processes, covering data extraction, transformation, and loading across different environments
In-depth familiarity with the Azure ecosystem and Databricks platform for scalable data solutions
Experience implementing CI/CD pipelines to support automated development, testing, and deployment
Exposure to integrating AI-driven capabilities to enhance data processing and delivery efficiency