Data Center QA Manager
- Review build methodologies, construction quality, installation practices and commissioning readiness.
7 days
5,000+ Data Jobs - November 2026 - High Salaries - Page 152
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"data"
Head of Geospatial Data Science
- Evaluate emerging methods in artificial intelligence, machine learning, statistical analysis, and optimisation, identifying opportunities for practical application.
7 days
- Configure data governance workflows, policies, and data quality rules.
7 days
- Collaborate with business and technical teams to support data governance initiatives.
7 days
Data Engineer (Data Lake, Data Warehouse - MDM)
26 days
Data Protection Officer, Principal
- Work with relevant departments/functions to build up and/or implement controls and provide quality and solutions-focused advice on data protection and privacy risk and control issues relevant to the business units for informed decision-making.
8 days
8 days
Data Centre Deployment Engineer
- Supervising installation partners and cabling contractors against rack build instructions and frozen rack elevations, including reviewing fibre certification records
7 days
Head of Data Centre Development
- This position will be based in Singapore with extensive regional travel anticipated to support the platform's growth ambitions.
7 days
Finance Automation - Data Intern
- Explore the use of Microsoft Copilot and AI tools to streamline reporting, data validation, reconciliations, and documentation.
8 days
Principal, Data - Commercialisation Strategy
- Lead the assessment of opportunities arising from CIA audience, content, advertising, streaming and consumer intelligence capabilities.
8 days
Data Migration Lead- Bank
- Working knowledge of core banking data structures for lending products — the facility / limit / loan / transaction hierarchy, collateral and guarantee linkage, schedules, accruals, and balances. Strongly preferred given this release's lending scope.
8 days
8 days
AI - Data Analytics Specialist
8 days
AI Data Engineer
- Lead the design, implementation, and operationalization of Knowledge Base and Retrieval-Augmented Generation (RAG) platforms to enable scalable Generative AI and agentic AI use cases across multiple business domains.
17 days
- Track and report the performance of department initiatives.
8 days
- Data Quality & Reliability – Implement data validation, monitoring, and quality controls to ensure accurate and consistent data
8 days
- AI & Machine Learning Support – Assist in developing, testing, and deploying predictive models and AI solutions
8 days
8 days
Jr. - Sr. Data Engineer
- Integrate data from multiple sources into centralized platforms for analytics and reporting, including API data integration to EDL pipelines with Internal and External applications
7 days
Integration Manager - Data Center
- Support build‑readiness, commissioning preparation, and handover activities.
8 days
QAQC Manager - Data Center
- Assists construction support areas in gathering and analyzing data.
8 days
SFE - Data Analytics Specialist
- Maintaining master mapping (Product, Customer, Sales Representative) for IMS Dashboard. Ensuring data is matching versus distributor portal
8 days
DATA ENGINEER
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. At least 8 years’ working experience in data platform, data analytics or relevant projects. Proven experience as a Data Engineer, with design and managing enterprise data architecture, including batch and real time processing. Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks. Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions. Proven experience in at least one major data processing tool (Informatica, Kettle, Talend, Airflow, Dolphin etc.). Prior experience with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL/NoSQL, Vector and Graph etc.). Excellent problem-solving skills and the ability to work with large, complex data sets. Strong attention to detail, ensuring data accuracy and reliability in all analyses. Effective communication skills to convey complex technical concepts to non-technical stakeholders. Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment. Prior experience of AI technology stack is a great plus. Prior experience in at least one BI tool (Power BI, Tableau, etc.). Related industry experience is a plus.
23 days
Junior Data Engineer
- Write and optimise SQL queries and data processing scripts to ensure data accuracy, performance, and reliability.
17 days
- Data Contracts & Governance — Guided Implementation: Implement and maintain agreed data contracts between upstream data producers and downstream ML consumers, following governance standards established with guidance from ML Engineer. Establish access control and retention practices for all AI data assets.
8 days
- Collaborate with Product Owners, data engineers, and analytics teams to build scalable, user-focused solutions.
8 days
Azure Infrastructure - Data Engineer
- Work Setup: Hybrid (2x/week onsite) - 4x per week onsite during probationary
8 days
8 days
- The ideal candidate combines strong Data Engineering fundamentals with the ability to work closely with business stakeholders, develop reporting solutions, and contribute across multiple data-related initiatives. Exposure to Data Science and AI use cases is considered an advantage.
8 days
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