BI Data Engineer (Hybrid)

DUTIES:

• Manage, monitor, and optimize BI / Data infrastructure costs through GCP.
• Lead and improve the end-to-end data pipeline process, from data ingestion and transformation to reporting systems, automating as much as possible.
• Introduce AI tools and methodologies across the data pipeline to improve efficiencies, data monitoring, data quality and overall business value delivered.
• Collaborate with peers and stakeholders to understand and translate business requirements into robust data solutions.
• Design, develop, and maintain data models, including machine learning models, ensuring data accuracy, reliability, availability, and evolution.
• Use reporting tools such as PowerBI to create and automate comprehensive data visualizations and reports.
• Manage Google Analytics and Google Tag Manager accounts to drive decisions for web-based platforms.
• Communicate actionable insights with proactive recommendations using statistical techniques.
• Collaborate with stakeholders to identify new opportunities for data insights and develop strategies to meet business goals and drive more value to their clients.
• Create and maintain reporting templates and dashboards for internal and external audiences.
• Independently identify, troubleshoot, and resolve data-related issues, ensuring a seamless data flow and maintaining high data quality and accuracy standards.
• Take ownership of data-related decisions and provide guidance on future data-specific hiring needs as well as tools.
• Collaborate with stakeholders to identify new opportunities for data-driven insights and develop strategies to meet business goals and drive more value to their clients.

REQUIREMENTS:

• Bachelor's degree in computer science, Data Science, AI/ Machine learning, Information Systems, or a related field.
• Proven experience (5+ years) as a BI Developer, Data Engineer, AI Engineer or similar role, with hands-on experience across the entire data pipeline.
• Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure for deploying AI models and managing data infrastructure.
• Proficient in Microsoft PowerBI, or similar tool.
• Experience in developing, training, and deploying machine learning models would be beneficial.
• Experience with handling / processing large sets of data exceeding 8 terabytes in size.
• Coding skills in languages commonly used in AI & BI development, such as Python and Java.
• Experience in designing and implementing algorithms for predictive analytics, recommendation systems, or other AI applications.
• Analytical, with the ability to independently to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Demonstrated ability to design and implement ETL processes and reporting solutions.
• Prior experience influencing decision-making and providing guidance on data-related initiatives.

ATTRIBUTES:

• Solid understanding of data warehousing concepts, data integration, and data quality best practices.
• Excellent problem-solving skills and ability to work independently to meet project deadlines.
• Exceptional communication skills to collaborate effectively with cross-functional teams and business stakeholders, translating complex concepts into simple business language.
• Business acumen, with the ability to translate business requirements into technical solutions.

While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.

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