Engineering Technical Lead
- Design development and technical assurance
23 days
2,300+ Data Engineering Jobs - November 2026 - Urgent Hiring - Page 51
Showing 2,384 jobs results for
"data engineering"
Assistant Manager, Data - AI
- Execute the roadmap for AI applications spanning guest experience, staff productivity, and corporate process augmentation, including conversational assistants, retrieval-augmented generation systems, and purpose-built AI tools.
23 days
23 days
- Design and implement data warehouse architecture, data models, and ETL pipelines.
15 days
DATA CONTROLLER
- Monitor and ensure operational quality complies with established SOPs
24 days
- Design and implement data warehouse architecture, data models, and ETL pipelines.
15 days
- Support the day-to-day operation and maintenance of Tencent's overseas big data platforms and clusters under the guidance of senior engineers; Help monitor platform health and escalate anomalies.
15 days
CSV Engineer
- Plan and execute CSV activities for QC laboratory instruments, software, and supporting IT/OT systems.
15 days
Senior Data Warehouse Engineer
- Lead and manage the Data Engineering team, providing technical direction and support so they deliver secure, consistent and sustainable data solutions.
15 days
Data Generalist
- Mobile App: Allows on-site workers & supervisors to report progress, complete checklists in real-time and manage approvals, ensuring accurate and timely data collection.
24 days
- Design, develop, and maintain scalable data pipelines.
24 days
DP Consultant - DP Engineer
- Execute DP consultancy and engineering projects.
16 days
Junior DP Consultant - DP Engineer
- Support DP consultancy and engineering projects, including DP system testing, and troubleshooting.
16 days
16 days
- Test Analytics & Quality Screening
16 days
- Legacy-to-Cloud Transition: Support the re-architecting and migration of legacy SQL/NoSQL databases and ETL processes to Google Cloud (BigQuery, Cloud SQL).
17 days
18 days
Big Data Platform Engineer
- About the job This is a leading organization investing in a modern enterprise data platform to support business-critical analytics, AI, and data-driven decision-making. As part of the continued evolution of its data engineering capabilities, the organization is seeking to appoint a Big Data Platform Engineer to operate, automate, and enhance its enterprise big data platform. This is an excellent opportunity to join a high-performing technology team responsible for ensuring the reliability, scalability, and operational excellence of mission-critical data infrastructure. Responsibilities You will be responsible for the administration, maintenance, and continuous improvement of the organization's enterprise big data platform, ensuring high availability, performance, and security across production environments. You will manage platform operations, monitor system health, troubleshoot complex technical issues, and implement best practices for platform reliability and resilience. Working closely with data engineers, platform engineers, infrastructure teams, and architects, you will automate platform provisioning, deployment, configuration, and operational processes using scripting and Infrastructure as Code (IaC). You will contribute to DevOps initiatives by building automated deployment pipelines, improving operational efficiency, and reducing manual intervention across the platform lifecycle. You will also support platform upgrades, capacity planning, patch management, disaster recovery, and performance tuning while ensuring the platform remains secure, stable, and scalable to support enterprise data and AI workloads. Requirements We are looking for a System Engineer with 5 years of experience supporting enterprise data platforms or big data environments. Strong DevOps experience is a prerequisite, with proven expertise in automation, scripting, CI/CD practices, and Infrastructure as Code using tools such as Terraform, Ansible, or similar technologies. Hands-on experience managing enterprise big data platforms is essential. Candidates with experience administering Cloudera Data Platform (CDP) on-premises will be highly preferred. Experience with Hadoop ecosystem technologies is advantageous but not essential. You should enjoy solving complex infrastructure challenges and working collaboratively within an enterprise platform engineering environment. Hands-on technical consulting candidates can be considered. To apply, please apply directly or submit your resume to Claudia at cd@kerryconsulting.com. We regret that only shortlisted candidates will be notified. License No: 16S8060 / Registration No: R26161178
2 days
2 days
Senior Database SME – Cloud Repatriation
- Lead database assessment, migration, validation and cutover activities to ensure secure migration with minimum downtime and no data loss.
1 day
AI Data Strategy - Model Operations Specialist Graduate (AI Data Service Operations) - 2027 Start
- Translate AI model training and evaluation needs from algorithm and business teams into clear annotation, production, and delivery tasks.
3 days
AWS Cloud - Big Data Migration Engineer (Fresh Graduates are welcomed!)
- Job Responsibilities:
18 days
CSV Engineer
- Contribute to Life Science projects for Antaes Asia clients.
19 days
19 days
- Lead multiple cross-functional squads, translating business and user needs into clear use cases, requirements, delivery plans and success measures.
3 days
Finance Automation - Data Intern
- Support monthly, quarterly, and annual financial reporting activities.
8 days
- Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.
5 days
- Lead multiple cross-functional squads, translating business and user needs into clear use cases, requirements, delivery plans and success measures.
5 days
- Design, develop, and maintain scalable data pipelines.
26 days
Lead Databricks Engineer - 12 months contract
19 days