Data Engineer (Senior)

Imizizi

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/TypeScript, 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 GitHub 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

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

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.

Relevant IT / Business / Engineering Degree

Candidates with one or more of the certifications are preferred.

AWS Certified Cloud Practitioner, AWS Certified SysOps Associate, AWS Certified Developer Associate, AWS

Certified Architect Associate, AWS Certified Architect Professional, Hashicorp Certified Terraform Associate

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