Introduction
An exciting opportunity is available for an experienced Senior Data Engineer to join a globally focused technology team delivering enterprise-scale data and cloud solutions. You will work on modern data platforms, AI-driven initiatives, and cloud-native applications while collaborating with cross-functional teams in an Agile environment.
This role is ideal for a data engineering professional who enjoys solving complex business problems, designing scalable solutions, and working with cutting-edge technologies in cloud computing, AI, and modern software engineering.
Key Responsibilities
- Gather and translate business requirements into technical solutions.
- Define project scope and align business and technical stakeholders.
- Design, develop and maintain scalable data pipelines and ETL processes.
- Build AI-enabled solutions and support the full software development lifecycle.
- Develop and maintain cloud-native applications on AWS.
- Collaborate with engineering teams to deliver high-quality technical solutions.
- Build secure, scalable and high-performing applications.
- Document solution designs, APIs and technical specifications.
- Resolve production issues and support onboarding of new data use cases.
- Ensure solutions meet business requirements, quality standards and delivery timelines.
- Take ownership of deliverables and contribute to continuous improvement initiatives.
Essential Requirements
- Relevant IT, Computer Science, Engineering or Business Degree.
- Strong Data Engineering experience.
- Python development.
- ETL/Data Ingestion development.
- Apache Kafka.
- Apache Spark.
- Experience with AI/ML frameworks such as LangChain, LangGraph or GAIA.
- Ability to translate business requirements into technical specifications.
- Experience defining acceptance criteria and managing technical scope.
- Front-end development experience using HTML, CSS, JavaScript/TypeScript, Angular or React.
- Unit testing using Jest and/or pytest.
- AWS Cloud services including:
- API Gateway
- Lambda
- DynamoDB
- S3
- SQS
- Git version control.
- GitHub Actions for CI/CD.
- RESTful APIs and/or GraphQL.
- Understanding of UI/UX principles.
- Excellent communication and stakeholder engagement skills.
- Experience working within Agile delivery environments.
Advantageous skills
- Passion for Artificial Intelligence and Large Language Models (LLMs).
- Strong analytical and problem-solving skills.
- Ability to learn new technologies quickly.
- Team-oriented mindset with excellent collaboration skills.
- Experience working within multinational environments.
- Strong presentation and communication skills.
- Excellent organisational and interpersonal skills.
- Ability to manage multiple priorities and deliver high-quality work.
- International project exposure.
- Willingness to travel internationally when required.
Qualifications
