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.
Job ID JN -062026-2004481
Morgan McKinley has been successfully connecting talented candidates with career opportunities for over 30 years. It’s in our DNA to Go Beyond – above...
More Jobs From Morgan McKinley
Morgan McKinley
Tokyo, Japan
Morgan McKinley
Tokyo, Japan
Morgan McKinley
Hong Kong
Morgan McKinley
Hong Kong
Morgan McKinley
Hong Kong
Morgan McKinley
Hong Kong
Morgan McKinley
Hong Kong
Morgan McKinley
Hong Kong
Boost your career
Find thousands of job opportunities by signing up to eFinancialCareers today.More Jobs Like This
