Website BICRM
We offer a wide range of services and innovations to large, medium, small and Startup organisations that are designed to achieve 6 clear objectives in a strategically effective manner: – Better cost-to-income ratio – Higher channel profitability – Higher profitability per customer – Grea… read moreter customer satisfaction and loyalty – Lower overall cost and complexity – Greater confidence in risk and compliance Our services include software design & development (C#, C++, Python, Java), SAP solutions, Microsoft solutions, Vehicle Telematics, Artificial Intelligence, Autonomous vehicle software development, Cyber security and Business Intelligence. We are proud to be a Microsoft Network Partner and a SAP Open Ecosystem Partner.
Job Summary
The Data Engineer will be responsible for building and optimising data pipelines, ensuring data architecture is scalable and supports cross-functional team needs. This role will focus on enhancing data governance and developing innovative data solutions.
Minimum Qualifications Required
An appropriate Post-Graduate qualification (BSc, Engineering, or similar).
Relevant programming qualifications and/or certifications.
Relevant Agile certification.
At least 12 years’ experience in data engineering, focusing on building and optimising data pipelines and architectures.
Experience constructing data acquisition, warehousing, and reporting solutions.
Advanced working SQL knowledge and 5 years’ experience working with relational databases.
Experience with a variety of databases, technologies, languages, and visualisation engines (Power BI, Tableau, SAS).
3-4 years’ experience building analytics tools that utilise the data pipeline to provide actionable insights into customer management, operational efficiency, and other key business performance metrics.
Required Skills
SQL
Microsoft Power BI
Databases
Data Modelling
Data Engineering
Tableau
Relational Databases
Data Lakes
Performance Metrics
OBIEE
Informatica
Teradata
Key Responsibilities
Develop and maintain robust data pipelines.
Implement and manage data governance across different departments.
Collaborate with IT to design and maintain scalable data architectures.
Engage with stakeholders to define data requirements and improve data utilisation.
Apply via company website ( N / A ) or
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