Are you an analytical problem-solver with a passion for building reliable data solutions? We are looking for a Junior Data Engineer to join our Group Analytics & Data Science team and help shape high-quality, scalable data pipelines that enable meaningful business insights
Duties & Responsibilities
Design, build and maintain data pipelines that support analytics and reporting
Integrate, clean and transform data from multiple sources into structured data models
Support data warehousing and dimensional modelling initiatives
Develop and maintain Power BI dashboards and reporting outputs
Ensure data quality, consistency and proper documentation
Collaborate with data scientists, IT teams and business stakeholders
Skills and Competencies
Strong working knowledge of SQL and Python for data querying, transformation, and validation
Experience with data engineering and ETL processes, including SSIS or similar tools
Understanding of data warehousing principles and dimensional modelling (Kimball methodology advantageous)
Exposure to Azure Synapse Analytics or AWS data environments
Ability to build and support Power BI dashboards; DAX knowledge advantageous
Strong analytical and problem-solving skills, with high attention to data accuracy and detail
Ability to document data sources, transformations, and mappings clearly and accurately
Good communication and collaboration skills, able to work with technical teams and business stakeholders
Well-organised, self-motivated, and able to manage multiple tasks while meeting deadlines
Willingness to learn, adapt, and grow within a fast-paced analytics environment
Qualifications
Diploma in Informatics, Statistics, Data Engineering, Computer Science, or a related field (minimum requirement)
Bachelor's Degree (BSc or BCom) in a relevant discipline will be advantageous
1 - 2 years' relevant experience in a data engineering, data analytics, or BI environment
Exposure to cloud-based data platforms (Azure Synapse Analytics or AWS preferred)
Relevant certifications in data, cloud, or analytics technologies will be an added advantage
Deadline:28th April,2026