We are searching for a skilled Lead Data Engineer who is eager to join our Credit Risk and Decision Support department. Our environment is fast moving, focused, structured and collaborative. As a Lead Data Engineer, you will responsible for creating business value by leading a team that apply data engineering and data management disciplines to design and build data solutions that enable data driven decision support, in order to optimize business decisions and processes.
Initially, you will be responsible for data solutions:
Sourcing Data: Identify data sources and work with source systems owners
Loading Data: Design, implement and optimise data loads using ETL techniques
Storing Data: Design and implement warehouse data models with modelling techniques
Enhancing Data: Design and implement aggregated data structures with appropriate indexing on tables to enhance system performance
Managing Data: Design and implement data monitoring solutions and procedures to support data quality. growth and usage
Managing appropriate systems and technology within the data environment
To excel in our environment, you would require experience in the following:
Databases: MS SQL Server, MySQL
Microsoft business intelligence data technologies: SSIS, SSAS)
Data warehouse concepts and best practices
You will also be required to display the following behavioural competencies:
Information gathering and problem analysis
Applying professional / specialist / technical expertise
Creating and innovating
Quality & detail orientation
Planning and organizing
Presenting and communicating information
Leadership and coaching skills
Degree in information technology / mathematics / engineering / actuarial science or related discipline.
8+ Years in a technical data role, preferably in a formal data, data warehouse or business intelligence environment. Previous management experience desirable but not essential.
You are welcome to apply should you meet the minimum requirements as outlined. Should you be interested in applying yourself, please apply online via Capnet.