Data Engineer
Harnham
London, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£45,000.0 - £55,000.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Build Automation
Microsoft Azure
Databases
Information Engineering
Extract Transform Load (ETL)
Data Migration
Data Systems
Relational Databases
Database Schema
Python (Programming Language)
+5 more
Microsoft SQL Server
SQL Server Integration Services
Tableau (Software)
Build Management
Restful APIs
Job description
- Design and build SQL Server databases from scratch
- Modernise and enhance the organisation’s existing database architecture
- Maintain and review existing dashboards and develop new reporting streams
- Build automation solutions using Python and APIs
- Work closely with stakeholders to deliver data solutions that support business objectives
Requirements
- Experience designing and building SQL Server environments from scratch is essential
- Strong understanding of database architecture and schema design experience is essential
- Experience working with SSIS, ETL processes and data migration/ transformation projects within Azure
- Experience using Python for automation and working with REST APIs
- Exposure to Tableau highly desirable or similar business intelligence tools
- Confident using AI tools to support operational efficiency
- Strong communication skills and ability to engage confidently with stakeholders, * Relational Databases
- SSIS
- SQL Server
- Data Engineering
- ETL Development
- REST API Integration
- Data Modelling
- Database Schema Design
- Microsoft Azure
- Python Automation
Benefits & conditions
- Up to £55,000 base salary
- Contributory pension scheme
About the company
Our client is an established organisation with a strong digital focus and a culture built around innovation, data, and continuous improvement. You will join a collaborative environment where Data, Commercial, Operations, Marketing, and Editorial teams work closely together. This organisation continues to develop its data capabilities, providing the opportunity to influence the evolution of its data architecture and support exciting AI initiatives.
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