Flexible Data Engineer for Advanced Analytics & AI
IBM
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Benefits offered by this job
Job summary
IBM Consulting UK FutureNow is seeking a data engineer to design, build and optimise data pipelines supporting analytics, ML, and AI workloads across enterprise environments in the UK. You’ll develop scalable data solutions, collaborate with Data Scientists, AI Engineers and Architects, and translate business requirements into robust, maintainable data products.
You'll work in a hybrid cloud context, using platforms like Databricks, Snowflake and Synapse, with exposure to AWS/Azure/GCP, data
Qualifications
- Proficiency in Python and SQL.
- Experience designing and building data pipelines.
- Experience with modern data platforms and enterprise environments.
- Exposure to analytics, ML, or AI workloads.
- Experience with cloud analytics and data platforms.
Responsibilities
- Design, build, and optimise data pipelines supporting analytics, ML, and AI workloads.
- Develop scalable data solutions across structured and unstructured data environments.
- Engineer datasets and analytical products for Data Science, AI, reporting, and decision-making.
- Build and maintain data processing frameworks, ETL/ELT pipelines.
- Collaborate with Architects, Data Scientists, AI Engineers, and stakeholders.
Skills
Education
Tools
Job description
IBM Consulting UK FutureNow is seeking a data engineer to design, build and optimise data pipelines supporting analytics, ML, and AI workloads across enterprise environments in the UK. You’ll develop scalable data solutions, collaborate with Data Scientists, AI Engineers and Architects, and translate business requirements into robust, maintainable data products.
You'll work in a hybrid cloud context, using platforms like Databricks, Snowflake and Synapse, with exposure to AWS/Azure/GCP, data
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