Big Data Support Engineer
2026-05-16T11:15:06+00:00
Absa Bank Kenya
https://cdn.greatkenyanjobs.com/jsjobsdata/data/employer/comp_10391/logo/absa.jpeg
https://www.absabank.co.ke/personal/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Information Technology
Science & Engineering, Computer & IT
2026-05-22T17:00:00+00:00
8
Absa Bank Limited (Absa) is a wholly owned subsidiary of Barclays Africa Group Limited. Absa offers personal and business banking, credit cards, corporate and investment banking, wealth and investment management as well as bancassurance.
Data Engineering is responsible for the central data platform that receives and distributes data across the bank. This is a multi-platform environment and leverages a blend of custom, commercial and open-source tools to manage and support thousands of critical data-related jobs. These jobs are supported and updated in line with changes across the landscape to avoid disruption to downstream data consumers.
Role Context
In this role, you will be part of the Data Operations team that is responsible for supporting all the applications on the Hadoop ecosystem. This role expands in maintaining changes on datasets and optimisation activities on all applications, including new development. They therefore need to understand basic programming to enable them to manage Big Data and to transfer all data to Hadoop.
Responsibilities or duties
- Support pipelines end to end
- Build enhancements and new developments
- Build and deploy new data pipelines
- Identify optimisation opportunities
- Improvement on recovery time in case of prod failures
- Test prototypes and oversee handover to the Data Operations teams
- Attend and contribute to regular team and User meetings
- Responsible for the actual coding or programming of Hadoop applications
- High-speed querying
Qualifications or requirements
- 2+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache Spark and Kafka
- Familiarity with Hadoop ecosystem and its components
- Good knowledge of the concepts of Hadoop
- Solid experience in a working environment in Big Data development utilising SQL or Python
- Experience in Big Data development using Spark
- Experience in Hadoop, HDFS and MapReduce
- Experience in database design, development and data modelling
- Good knowledge in back-end programming, specifically java
- Experience with development in a Linux environment and its basic commands
- Ability to write reliable, manageable, and high-performance code
- Should have basic knowledge of SQL, database structures, principles, and theories
- Knowledge of workflow/schedulers
- Strong collaboration and communication skills
- Strong analytical and problem-solving skills
Experience needed
2+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache Spark and Kafka.
Additional notes
The following additional knowledge, skills and attributes are preferred:
- Good knowledge in back-end programming, specifically java
- Experience with development in a Linux environment and its basic commands
- Ability to write reliable, manageable, and high-performance code
- Should have basic knowledge of SQL, database structures, principles, and theories
- Knowledge of workflow/schedulers
- Strong collaboration and communication skills
- Strong analytical and problem-solving skills
- Support pipelines end to end
- Build enhancements and new developments
- Build and deploy new data pipelines
- Identify optimisation opportunities
- Improvement on recovery time in case of prod failures
- Test prototypes and oversee handover to the Data Operations teams
- Attend and contribute to regular team and User meetings
- Responsible for the actual coding or programming of Hadoop applications
- High-speed querying
- Java
- Scala
- Python
- Hadoop
- Apache Spark
- Kafka
- Hadoop ecosystem and its components
- Hadoop concepts
- SQL
- Python for Big Data development
- Spark for Big Data development
- Hadoop, HDFS and MapReduce
- Database design, development and data modelling
- Back-end programming (Java)
- Linux environment and its basic commands
- Writing reliable, manageable, and high-performance code
- Basic SQL, database structures, principles, and theories
- Workflow/schedulers
- Collaboration and communication skills
- Analytical and problem-solving skills
- 2+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache Spark and Kafka
- Familiarity with Hadoop ecosystem and its components
- Good knowledge of the concepts of Hadoop
- Solid experience in a working environment in Big Data development utilising SQL or Python
- Experience in Big Data development using Spark
- Experience in Hadoop, HDFS and MapReduce
- Experience in database design, development and data modelling
- Good knowledge in back-end programming, specifically java
- Experience with development in a Linux environment and its basic commands
- Ability to write reliable, manageable, and high-performance code
- Should have basic knowledge of SQL, database structures, principles, and theories
- Knowledge of workflow/schedulers
- Strong collaboration and communication skills
- Strong analytical and problem-solving skills
JOB-6a0851ba31591
Vacancy title:
Big Data Support Engineer
[Type: FULL_TIME, Industry: Information Technology, Category: Science & Engineering, Computer & IT]
Jobs at:
Absa Bank Kenya
Deadline of this Job:
Friday, May 22 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Saturday, May 16 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Absa Bank Limited (Absa) is a wholly owned subsidiary of Barclays Africa Group Limited. Absa offers personal and business banking, credit cards, corporate and investment banking, wealth and investment management as well as bancassurance.
Data Engineering is responsible for the central data platform that receives and distributes data across the bank. This is a multi-platform environment and leverages a blend of custom, commercial and open-source tools to manage and support thousands of critical data-related jobs. These jobs are supported and updated in line with changes across the landscape to avoid disruption to downstream data consumers.
Role Context
In this role, you will be part of the Data Operations team that is responsible for supporting all the applications on the Hadoop ecosystem. This role expands in maintaining changes on datasets and optimisation activities on all applications, including new development. They therefore need to understand basic programming to enable them to manage Big Data and to transfer all data to Hadoop.
Responsibilities or duties
- Support pipelines end to end
- Build enhancements and new developments
- Build and deploy new data pipelines
- Identify optimisation opportunities
- Improvement on recovery time in case of prod failures
- Test prototypes and oversee handover to the Data Operations teams
- Attend and contribute to regular team and User meetings
- Responsible for the actual coding or programming of Hadoop applications
- High-speed querying
Qualifications or requirements
- 2+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache Spark and Kafka
- Familiarity with Hadoop ecosystem and its components
- Good knowledge of the concepts of Hadoop
- Solid experience in a working environment in Big Data development utilising SQL or Python
- Experience in Big Data development using Spark
- Experience in Hadoop, HDFS and MapReduce
- Experience in database design, development and data modelling
- Good knowledge in back-end programming, specifically java
- Experience with development in a Linux environment and its basic commands
- Ability to write reliable, manageable, and high-performance code
- Should have basic knowledge of SQL, database structures, principles, and theories
- Knowledge of workflow/schedulers
- Strong collaboration and communication skills
- Strong analytical and problem-solving skills
Experience needed
2+ years’ experience working in Big data environment, optimising and building big data pipelines, architectures and data sets with e.g. Java, Scala, Python, Hadoop, Apache Spark and Kafka.
Additional notes
The following additional knowledge, skills and attributes are preferred:
- Good knowledge in back-end programming, specifically java
- Experience with development in a Linux environment and its basic commands
- Ability to write reliable, manageable, and high-performance code
- Should have basic knowledge of SQL, database structures, principles, and theories
- Knowledge of workflow/schedulers
- Strong collaboration and communication skills
- Strong analytical and problem-solving skills
Work Hours: 8
Experience in Months: 24
Level of Education: bachelor degree
Job application procedure
Application Link:Click Here to Apply Now
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