Data Engineer

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.

Preparing and performing data analysis.

Introducing data and machine learning models.

Developing data visualization.

Implementing data and machine learning methods.

Processing use cases to answer business-relevant questions.

Transferring data and machine learning models to the appropriate infrastructures.

Evaluating and continuously updating the technological market development.

Developing and updating reusable technological solution blocks (building blocks) as well as integrating them into existing data infrastructures.

Deriving and advising on technology-specific qualification requirements.

Using programming languages and data visualization tools to prepare data, extract knowledge from the data (data analytics) and automate decisions (AI).

Supporting with the identification of data-driven use cases and incorporate them in the value creation process.

Collecting and processing adequate data (quality and quantity) for further use in the client's data ecosystem.

Qualifications/Experience:

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.

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/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.

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.

Between 5 - 7 Years