About the role
Build and operate cloud or hybrid Big Data platforms, implementing batch and real-time pipelines for structured and unstructured data. The role covers data acquisition, cleansing, masking, outlier management, and preparation of datasets for data science, BI, data warehouses, NoSQL systems, and APIs. You will also help scale and schedule machine learning models and select technologies for complex client projects.
The work combines hands-on platform engineering with client advisory and collaboration across Data Science, BI, and multidisciplinary teams. Responsibilities include data model design, ETL/ELT maintenance, and contributions to internal knowledge sharing, research, technology scouting, and business development. The role asks for experience with cloud data platforms and at least one of GCP, AWS, or Azure, alongside programming and query languages and structured or unstructured data technologies.
Highlights
- Develop cloud or hybrid Big Data platforms and batch or real-time pipelines.
- Prepare governed, quality-focused data for analytics, BI, APIs, and ML.
- Work with cloud services including GCP, AWS, or Azure.
- Advise clients and contribute to engineering practices and team knowledge sharing.
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