Data Engineer – Hybrid/Onsite

About the role

Viva.com is looking for a Data Engineer to join its Business Intelligence and Analytics team. You will help build and optimise data pipelines that feed critical insights across finance, sales, risk and other business functions.

Key responsibilities

• Design, develop and maintain ETL pipelines using SQL and Azure services.
• Integrate AI‑driven analytics tools to automate data cleansing and generate predictive insights.
• Apply machine‑learning algorithms to improve data accuracy and enable real‑time analysis.
• Create scalable data architecture for Data Warehouses, Data Lakes and Big Data platforms.
• Continuously improve internal processes by automating manual tasks and optimising data delivery.

Required profile

• Bachelor’s degree in an IT‑related field.
• Experience with AI/ML frameworks for model development and deployment.
• Proven ability to work efficiently and meet deadlines.

Required skills

• SQL
• Microsoft Azure (data services)
• AI/ML frameworks (e.g., TensorFlow, PyTorch)
• Machine‑learning algorithms for data processing
• ETL pipeline design and implementation
• Data Warehousing and Data Lake concepts
• Big Data platforms (e.g., Spark, Hadoop)

What we offer

• Opportunity to work in a fast‑growing fintech environment.
• Access to cutting‑edge AI and cloud technologies.
• Collaborative, future‑forward team culture.