- Build and maintain good relationships with suppliers and monitor their performance, quality, and delivery.
9 days
2,200+ Data Engineer Jobs - November 2026 - High Salaries - Page 3
Showing 2,230 jobs results for
"data engineer"
- Focuses on semantic recognition, segmentation, transcription, synthesis analysis, and response quality.
30+ days
- Build and maintain good relationships with suppliers and monitor their performance, quality, and delivery.
9 days
- Integrate AI models with APIs, databases, and enterprise applications.
15 days
- Ensure the project works are completed safely, on schedule and in accordance with client requirements.
30+ days
- Ensure the project works are completed safely, on schedule and in accordance with client requirements.
30+ days
- Ensure the project works are completed safely, on schedule and in accordance with client requirements.
30+ days
- Ensure the project works are completed safely, on schedule and in accordance with client requirements.
30+ days
Data Engineer
- Experience using common scripting languages like Python, SQL, Scala, Spark or Powershell will be preferred
30+ days
Data Engineer
- What You'll Do:️ Design, build, and maintain reliable data pipelines Develop ETL processes to collect and transform large datasets Collaborate with analysts and stakeholders to deliver actionable insights️ Optimize database performance and ensure data integrity Integrate data from multiple sources for unified analytics
30+ days
Data Engineer
- Translate business requirements into technical specifications for data pipelines, storage, and processing solutions
30+ 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.
30+ days
DATA ENGINEER
- Stay updated on industry trends and tools in data engineering and analytics toenhance technical skills and contribute to team innovation.
30+ 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.
30+ days
30+ days
Data Engineer
- Manage schema evolution and change data capture (CDC) so that downstream models remain stable as source systems change.
29 days
Data Engineer
- Experience using common scripting languages like Python, SQL, Scala, Spark or Powershell will be preferred
29 days
29 days
Data Engineer
- Write and optimise complex SQL queries, stored procedures, functions and views.
29 days
29 days
Data Engineer
- Collaborate with data scientists and business stakeholders to understand data requirements and deliver high-quality datasets.
28 days
28 days
Data Engineer
- Collaborate with cross-functional teams to integrate AI/ML models into production data environments
28 days
Data Engineer
- Data Agent Development: Build data agents (e.g., MCP Skills) to automate data retrieval and analysis workflows, improving team productivity.
27 days
27 days
Data Engineer
- Develop and automate analytics reports and dashboards using tools such as Power BI, Tableau, or Looker.
26 days
26 days
26 days
Data Engineer
- Partner with business analysts to validate business rules, data mappings, transformation logic, and user requirements.
26 days
Data Engineer
- Opportunity Support: Support opportunities across the AI Studio, AI Foundry, and AI Factory offerings, qualifying services opportunities and handing them off to the appropriate services teams.
26 days