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Senior Analyst - US Commercialization Decision Intelligence & MMx Solutions
Senior Analyst builds AI-driven insights and analytics to optimize US commercial strategies for pharma brands, translating data into actionable recommendations for marketing and resource allocation.
Analytics Platform Engineer
Design and build Power BI and Microsoft Fabric analytics solutions, including semantic models, dashboards, and AI-enabled reports for logistics and customer analytics.
Senior Data Engineer
Senior Data Engineer designing and optimizing scalable cloud-based data pipelines and solutions on Azure (Synapse, Data Factory, Data Lake) using SQL and Python, with client-facing collaboration.
Software & Applications Manager – Enterprise Platforms & AI
Job Summary We are seeking a Software & Applications Manager to lead delivery, enhancement, and modernization of enterprise applications in banking, fintech, and regulated environments. Collaborate with business,…
Software & Applications Manager – Enterprise Platforms & AI
We are seeking a Software & Applications Manager to manage the delivery, enhancement and modernisation of enterprise applications supporting banking, fintech and regulated business environments. The role will work…
Software & Applications Manager – Enterprise Platforms & AI
Job Summary We are seeking a Software & Applications Manager to lead delivery, enhancement, and modernization of enterprise applications in banking, fintech, and regulated environments. Collaborate with business,…
Software & Applications Manager – Enterprise Platforms & AI
We are seeking a Software & Applications Manager to manage the delivery, enhancement and modernisation of enterprise applications supporting banking, fintech and regulated business environments. The role will work…
AWS Data Architect
REQUIREMENTS: Minimum 7 years of experience in data engineering, data architecture, or cloud infrastructure roles Hands-on expertise with core AWS data services: Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, Amazon…
Data Engineer
Designs and maintains scalable, secure enterprise data platforms and ETL pipelines for government analytics, AI-driven decision-making, and hybrid cloud environments (GCC/MCC). Focuses on data warehouses, lakehouses, and GenAI workloads like vector search and RAG.
Data Analyst
Job Responsibilities/ Requirements: We are looking for a Data Analyst who is passionate about turning data into clear insights and intuitive dashboards. In this role, you will work closely with product, operations, and…
Engineering Manager - Consumer Intelligence & Engagement
SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our…
Data Engineer
Designs and maintains scalable data pipelines using Microsoft Fabric, Delta Lake, and Spark SQL to enable enterprise analytics and reporting for a large ASX-listed infrastructure services company.
Assistant Manager
Core strengths / capabilities Requirements & analysis: discovery workshops, user stories, epics, acceptance criteria, NFRs, prioritization support Process & operational design: as-is/to-be, Visio, service…
Senior Databricks Data Engineer
We are looking for a Senior Databricks Data Engineer with strong expertise in Databricks, cloud data architecture, data engineering, and healthcare data. The ideal candidate will be responsible for designing scalable,…
Data Engineer - Azure + Fabric
Builds and maintains a Microsoft Fabric/OneLake data platform using Medallion Architecture (Bronze/Silver/Gold layers) to ingest, transform, and curate data for analytics and Power BI, focusing on CDC, Spark/PySpark, and data governance.
Intern for Data Science, PETRONAS Digital Sdn. Bhd. in Kuala Lumpur, Wp Kuala Lumpur
Intern assists with data collection, labeling, and Python-based automation for analytics and AI initiatives at a climate-tech company.
Senior Applied Data Scientist
Senior Applied Data Scientist develops and deploys AI/ML models (including generative AI) to solve fintech challenges like customer propensity modeling, fraud detection, and risk assessment, collaborating with business teams to drive data-driven decisions and operational improvements at a large bank.