Core Responsibilities
- Pipeline & DataOps: Build and optimize scalable ETL/ELT pipelines and automated CI/CD workflows for data assets, AI integrations, and ERP system updates.
- Platform Administration: Oversee the data platform, driving cost efficiency, system reliability, and secure-by-design data governance practices.
- Collaboration & Support: Partner with data scientists, vendors, and business units to deliver data solutions; provide BAU support and track platform KPIs.
- Innovation: Utilize generative AI tools to accelerate development cycles and share DataOps best practices with the broader team.
- Education: Degree in Computer Science, IT, Data Science, or related field.
- Experience: 10+ years in Data Engineering, DataOps and DevOps (Preferrable in Microsoft Data Stack)
- Technical Skills: * Strong expertise in cloud data platforms (ideally Spark/Databricks ecosystems) and unified data governance frameworks.
- Proficient in Python, SQL, Shell Scripting, Infrastructure-as-Code, and Git/DevOps automation.
- Experience with containerization (Kubernetes/Helm) and AI productivity tools (e.g., Copilot) is a plus.
- Soft Skills: Strong ownership, proactive problem-solving, and excellent communication skills for diverse stakeholder groups.
Référence JN -062026-2004481
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