Data Engineer - Public Sector
IBM
Data Engineer - Public Sector
Job Description
Data Engineer - Public Sector
📋 Job Overview
As a Data Engineer at IBM CIC, you will design and implement advanced data engineering solutions for public and private sector clients. You will develop applications using Big Data technologies, build APIs and data pipelines, and work with tools like DataStage, Redshift, S3, and QuickSight to enhance data integration and analytics. This role requires working in an Agile environment and focuses on data quality, security, and performance optimization.
📍 Location: London, GB (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement advanced data engineering solutions
- Develop applications using Big Data technologies
- Build APIs and data pipelines for robust data integration and analytics
- Develop scalable data warehouses and dashboards using DataStage, Redshift, S3, and QuickSight
- Apply knowledge of analytics libraries, open-source Natural Language Processing, and statistical computing to enhance data insights
- Ensure data quality, security, and performance optimization in an Agile environment
✅ Required Qualifications
- Valid right to work in the UK
- Resident in the UK and have been living continuously in the UK for the last 5 years
🛠️ Required Skills
- Big Data technologies
- APIs
- Data pipelines
- DataStage
- Redshift
- S3
- QuickSight
- Analytics libraries
- Open-source Natural Language Processing
- Statistical computing
- Agile environment
- Data quality
- Data security
- Performance optimization
- Coding expertise
- Innovation in data platform engineering
🎁 Benefits & Perks
- Opportunity to work with leading professionals across multiple industries
- Long-term career growth and development opportunities
- Encouragement to constantly reinvent oneself and focus on skills in demand
- Flexible working pattern options
- Supportive environment that embraces unique skills and experience
Locations
- London, GB, India (Remote)
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Big Data technologiesintermediate
- APIsintermediate
- Data pipelinesintermediate
- DataStageintermediate
- Redshiftintermediate
- S3intermediate
- QuickSightintermediate
- Analytics librariesintermediate
- Open-source Natural Language Processingintermediate
- Statistical computingintermediate
- Agile environmentintermediate
- Data qualityintermediate
- Data securityintermediate
- Performance optimizationintermediate
- Coding expertiseintermediate
- Innovation in data platform engineeringintermediate
Required Qualifications
- Valid right to work in the UK (experience)
- Resident in the UK and have been living continuously in the UK for the last 5 years (experience)
Responsibilities
- Design and implement advanced data engineering solutions
- Develop applications using Big Data technologies
- Build APIs and data pipelines for robust data integration and analytics
- Develop scalable data warehouses and dashboards using DataStage, Redshift, S3, and QuickSight
- Apply knowledge of analytics libraries, open-source Natural Language Processing, and statistical computing to enhance data insights
- Ensure data quality, security, and performance optimization in an Agile environment
Benefits
- general: Opportunity to work with leading professionals across multiple industries
- general: Long-term career growth and development opportunities
- general: Encouragement to constantly reinvent oneself and focus on skills in demand
- general: Flexible working pattern options
- general: Supportive environment that embraces unique skills and experience
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer - Public Sector @ IBM.
Related Books and Jobs
Data Engineer - Public Sector
IBM
Data Engineer - Public Sector
Job Description
Data Engineer - Public Sector
📋 Job Overview
As a Data Engineer at IBM CIC, you will design and implement advanced data engineering solutions for public and private sector clients. You will develop applications using Big Data technologies, build APIs and data pipelines, and work with tools like DataStage, Redshift, S3, and QuickSight to enhance data integration and analytics. This role requires working in an Agile environment and focuses on data quality, security, and performance optimization.
📍 Location: London, GB (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Design and implement advanced data engineering solutions
- Develop applications using Big Data technologies
- Build APIs and data pipelines for robust data integration and analytics
- Develop scalable data warehouses and dashboards using DataStage, Redshift, S3, and QuickSight
- Apply knowledge of analytics libraries, open-source Natural Language Processing, and statistical computing to enhance data insights
- Ensure data quality, security, and performance optimization in an Agile environment
✅ Required Qualifications
- Valid right to work in the UK
- Resident in the UK and have been living continuously in the UK for the last 5 years
🛠️ Required Skills
- Big Data technologies
- APIs
- Data pipelines
- DataStage
- Redshift
- S3
- QuickSight
- Analytics libraries
- Open-source Natural Language Processing
- Statistical computing
- Agile environment
- Data quality
- Data security
- Performance optimization
- Coding expertise
- Innovation in data platform engineering
🎁 Benefits & Perks
- Opportunity to work with leading professionals across multiple industries
- Long-term career growth and development opportunities
- Encouragement to constantly reinvent oneself and focus on skills in demand
- Flexible working pattern options
- Supportive environment that embraces unique skills and experience
Locations
- London, GB, India (Remote)
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Big Data technologiesintermediate
- APIsintermediate
- Data pipelinesintermediate
- DataStageintermediate
- Redshiftintermediate
- S3intermediate
- QuickSightintermediate
- Analytics librariesintermediate
- Open-source Natural Language Processingintermediate
- Statistical computingintermediate
- Agile environmentintermediate
- Data qualityintermediate
- Data securityintermediate
- Performance optimizationintermediate
- Coding expertiseintermediate
- Innovation in data platform engineeringintermediate
Required Qualifications
- Valid right to work in the UK (experience)
- Resident in the UK and have been living continuously in the UK for the last 5 years (experience)
Responsibilities
- Design and implement advanced data engineering solutions
- Develop applications using Big Data technologies
- Build APIs and data pipelines for robust data integration and analytics
- Develop scalable data warehouses and dashboards using DataStage, Redshift, S3, and QuickSight
- Apply knowledge of analytics libraries, open-source Natural Language Processing, and statistical computing to enhance data insights
- Ensure data quality, security, and performance optimization in an Agile environment
Benefits
- general: Opportunity to work with leading professionals across multiple industries
- general: Long-term career growth and development opportunities
- general: Encouragement to constantly reinvent oneself and focus on skills in demand
- general: Flexible working pattern options
- general: Supportive environment that embraces unique skills and experience
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer - Public Sector @ IBM.
Related Books and Jobs