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Cloud Data & AI Platform Engineer

Antwerpen, Antwerpen
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Cloud Data & AI Platform Engineer

Work Regime: Full-time (2 office days per week)

Role Overview:

As a Cloud Data & AI Platform Engineer, you will be responsible for designing, building, and maintaining data platform engineering capabilities on AWS and Snowflake. Your role will involve creating integrations and frameworks that enable data engineers, data scientists, and analysts to work efficiently and securely. You will also ensure platform continuity, including DevOps tasks, support, and standard upgrades. Additionally, you will develop solutions to embed GenAI capabilities into the Data Analytics platform, facilitating the creation of GenAI data pipelines and exploration of unstructured datasets with LLMs. You will also design platform capabilities to support Agentic AI solutions, including unstructured data management and access.

Key Responsibilities:

  • Data & AI Platform Engineering: Design and implement products/services in AWS and Snowflake, focusing on secure storage, processing power, access management, and efficiency accelerators.
  • Integrations & Frameworks: Develop and maintain integrations and reusable frameworks across the AWS and Snowflake platform.
  • Platform Continuity & Support: Manage the day-to-day continuity of the data platform, including DevOps tasks, production support, incident resolution, and upgrades.
  • Automation and Efficiency: Build solutions to streamline data platform workflows and reduce manual intervention using GenAI.
  • Cross-team Collaboration: Work with stakeholders to define and implement fit-for-purpose solutions.

Qualifications and Experience:

  • Master’s or Bachelor’s degree in Computer Science or related field.
  • Profound experience in production-level data environments.
  • Excellent knowledge of Snowflake, AWS, Terraform, and Python.
  • Good knowledge of EMR, EKS, Spark, and Gitlab.
  • Experience with modern schedulers such as Dagster and Airflow.
  • Experience with Cloud services for GenAI, including API Endpoints and Vector DBs.
  • Familiarity with Data Engineering/Machine Learning/AI Pipelines, including DBT and ML frameworks.
  • Experience with data access management solutions like Raito.
  • Experience in scalable API development in production environments.
  • DevOps experience is a plus; end-to-end ownership is essential.
  • Strong communication skills and a problem-solving mindset.
  • Proficient in English; Dutch skills are a plus.