- Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
25 days
36 Data Engineering Jobs - October 2026 - High Salaries
Showing 36 jobs results for
"data engineering"
- Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
23 days
- Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
4 days
- Lead cloud-based data transformation programs leveraging Azure, AWS, or Google Cloud technologies.
25 days
- Oversee the full project lifecycle, including:
30+ days
- Oversee the full project lifecycle, including:
30+ days
- Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.
11 days
- Oversee the full project lifecycle, including:
8 days
- Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.
30+ days
- Translate business requirements into technical specifications and data engineering solutions.
24 days
- Translate business requirements into technical specifications and data engineering solutions.
3 days
- Be involved in all aspects of the Project life-cycle, including Strategy, Road-Mapping, Architecture, Implementation and Development in order to gain maximum exposure to set you up for a successful consulting career.
30+ days
- Integrate with data governance tools, ecosystem products across the cloud landscape
11 days
- Integrate with data governance tools, ecosystem products across the cloud landscape
30+ days
- Integrate with data governance tools, ecosystem products across the cloud landscape
30+ days
- Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
11 days
- Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
30+ days
- Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
30+ days
- Ensure data quality, governance, and security standards are embedded throughout all data engineering processes.
9 days
- Ensure data quality, governance, and security standards are embedded throughout all data engineering processes.
30+ days
- Ensure data quality, governance, and security standards are embedded throughout all data engineering processes.
30+ days
GenAI Data Engineer-Scientist (Financial Services), Manager-Senior Consultant, Technology Consulting
- Conduct experiments and analyze results to improve model performance.
30+ days
GenAI Data Engineer-Scientist (Financial Services), Manager-Senior Consultant, Technology Consulting
- Conduct experiments and analyze results to improve model performance.
12 days
GenAI Data Engineer-Scientist (Financial Services), Manager-Senior Consultant, Technology Consulting
- Conduct experiments and analyze results to improve model performance.
30+ days
- Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
11 days
- Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
30+ days
- Build and manage data lakes and warehouses using S3, Glue, Athena, Redshift
30+ days
- Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
30+ days
- Lead business key identification and relationship modelling workshops.
25 days
- Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
15 days