Data Engineer; Senior

Position: 1572 Data Engineer (Senior)
Location: Menlyn

ESSENTIAL

SKILLS:


Strong data engineering skills, including Python coding and data ingestion (ETL, Kafka, Apache Spark).
Familiarity with AI/ML frameworks (e.g., Langchain, Langgraph, GAIA) and their integration into solutions.
Proven ability to translate business requirements into well-defined technical specifications.
Excellent communication skills to convey technical concepts to non-technical stakeholders and bridge gaps
between teams.
Experience in defining acceptance criteria and managing scope for technical deliverables.
Proficiency in frontend development (HTML, CSS, JavaScript/Type Script, Angular/React).
Knowledge of unit testing frameworks (Jest, pytest).
Hands-on experience with AWS services (API Gateway, Lambda, DynamoDB, S3, SQS).
Familiarity with Git and Git Hub Actions for version control and CI/CD.
Understanding of UI/UX principles and RESTful APIs/GraphQL.
Adaptability to perform additional tasks under the Agile Working Model (AWM) Charter

ADVANTAGEOUS

SKILLS:


Strong interest in Artificial Intelligence and specifically LLM-based applications
Problem solving capabilities
Driven and willing to learn new technologies in order to be able to solve different problems
Flexibility to take up different tasks in the project
Ability to work as part of a team
Ability to work interdependently and to submit deliverables on time and with excellent quality
Ability to work within a multi-national organisational structure and to work with colleagues from all over the
world
Excellent interpersonal and organisational skills with the ability to communicate effectively (both verbally and in
writing) with both technical and non-technical colleagues / users
Strong ability to understand and interpret business needs and requirements with an aptitude to move concepts
through to proposal and successful implementation
Strong presentation skills
Above-board work ethics
Willing and able to travel internationally

ROLE & RESPONSIBILITIES:

Work with stakeholders to gather and translate requirements into actionable technical tasks.
Define project scope and align business and technical teams.
Design data pipelines, propose AI solutions, and support development cycles.
Facilitate collaboration between business, engineering teas, and EDE team.
Develop and maintain high-quality, efficient software/Custom solutions.
Build, deploy, and scale cloud applications using AWS with a focus on performance and security.
Document system designs, APIs, and key technical details.
Resolve operational issues and support new use case onboarding.
Ensure deliverables meet quality standards and project goals.
Take ownership and deliver impactful, meaningful solutions.

QUALIFICATIONS/

EXPERIENCE:


Relevant IT / Business / Engineering Degree
Candidates with one or more of the certifications are preferred.
AWS Certified Cloud Practitioner, AWS Certified Sys Ops Associate, AWS Certified Developer Associate, AWS
Certified Architect Associate, AWS Certified Architect Professional, Hashicorp Certified Terraform Associate
Submit your CV to:  and Subject line Role title