Lead-Senior Data Engineer
- Manage the end-to-end development of BI dashboards, reporting solutions, and data pipelines.
10 days
2,500+ Data Engineering Jobs - November 2026 - High Salaries - Page 25
Showing 2,541 jobs results for
"data engineering"
Senior Data Engineer
- Responsible in developing frontend dashboards and integration to back end. Using frontend and backend API Frameworks such as React, Angular Django, FastAPI, Springboot
18 days
24 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.
18 days
Data Engineer
- Translate business and technical requirements into solution designs
24 days
Data Engineer (Clinical Research)
- Design, build and maintain data pipelines for digital health and clinical study data.
11 days
Junior Data Engineer
- Write and optimise SQL queries and data processing scripts to ensure data accuracy, performance, and reliability.
18 days
Data Engineer
24 days
Data Engineer
24 days
Data Engineer
24 days
AI and Data Engineer
- Build reusable tools and workflows that can be applied across multiple subject areas
18 days
Senior Data Engineer
- Optimise pipeline performance, data quality, reliability, and system scalability.
19 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.
24 days
Data Engineer
- We are currently looking for a Data Engineer to join our team.
24 days
DATA ENGINEER
- Stay updated on industry trends and tools in data engineering and analytics toenhance technical skills and contribute to team innovation.
24 days
Data Engineer
- What You'll Do:KEY RESPONSIBILITES (JOB REQUIREMENTS)1 Data Engineering & Platform Support2 Design and maintain basic data pipelines and integration processes tosupport reliable data flow and ensure data availability for analytics.3 Implement and monitor data validation and cleansing routines to improve dataquality and ensure accurate reporting.4 Support and troubleshoot operational issues in data pipelines and databasesto maintain smooth and continuous platform performance.5 Develop and update dashboards and reports to visualize key metrics andsupport data-driven decision-making across teams.1 Collaboration & Business Understanding2 Collaborate with stakeholders to gather data requirements and ensuresolutions align with business needs and objectives.3 Communicate data insights and findings in a clear and actionable manner tosupport informed decision-making by non-technical stakeholders.4 Assist in analyzing structured and unstructured data to identify trends andpatterns that contribute to solving business problems.1 Learning & Continuous Improvement2 Research and apply suitable machine learning models or statisticaltechniques under guidanceto support business use cases.
24 days
Data Engineer
- Actively review and optimise report query performance, improving reliability, speed, and scalability for key business reporting and application use cases.
24 days
Senior-Data Engineer
- Build and maintain data warehouse/data lake infrastructure.
19 days
Data Engineer
- Build reusable data engineering components such as common libraries, configuration frameworks, logging standards, and utilities to streamline production workflows
24 days
Data Engineer (Python-SQL)
- Write and optimise SQL queries and data processing scripts to ensure data accuracy, performance, and reliability.
12 days
Data Engineer - Platform - Analytics
- Ensure data quality, reliability, monitoring, and operational excellence across data assets.
12 days
- Perform data validation, reconciliation and quality assurance on integrated datasets.
25 days
Data Engineer
- Implement and maintain CI/CD pipelines, automated testing frameworks, Infrastructure as Code (IaC), and deployment processes.
24 days
Data Engineer (Tech-FMCG)
12 days
Javaspark Big Data Engineer
12 days
Data Engineer
- Develop Python scripts, APIs and lightweight applications to automate business processes.
24 days
Data Engineer
- The Data Engineer is responsible for collecting, validating, processing, and analyzing data from
24 days
Data Engineer
- Translate functional and data requirements into reliable and maintainable technical solutions.
24 days
Data Engineer (Tech-FMCG)
- Cross-Functional Collaboration: Work with business stakeholders, analytics, product, and engineering teams to understand data requirements and establish clear data definitions.
12 days
Data Engineer (PERM)
- Build and optimise batch, near real-time, and real-time data processing solutions.
19 days