Our power energy business client is looking for the multiple – AI and Data Engineer to join the team. (GenAI, Azure Data Tools and good at SQL\& Python)
Job Responsibilities
Build end-to-end data pipelines including data collection, transformation, quality and integration solutions to facilitate data \& analytics solutions.
Collaborate with solution design and business requirements teams to identify data requirements and assemble large, complex data sets that meet the requirements
Work collaboratively with the data architect to ensure data model integrity
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Create data tools for analytics and data scientists teams that assist them in building and optimising the data models and solutions
Work closely with the data analysts \& data scientists to design and develop APIs
Job Responsibilities
Bachelor degree in a related field (e.g. computer science, information technology, etc.)
3 + years experience in SQL/PostgreSQL, Python with integration to 3rd party tools
Experience in using the tools as cloud technologies Azure Cloud, Spark, Scala, Python, SQL scripting languages, HBase, MongoDB, Cassandra), ERP,
Experience with Data Lake, Databricks, Azure Data Factory, BI Dashboard, and BI implementation projects
Familiar with GenAI concepts like RAG, orchestration frameworks like LangChain and LlamaIndex, vector databases etc.
Experienced in coding in data management, data warehousing or unstructured data environments
Experience in the energy sector or other asset-intensive industries will be highly regarded
Experience in using coding assistants (e.g. GitHub Copilot) for uplifting productivity in development
Interested parties, please click to https://www.adecco.com/en-hk/jobs/ai-data-engineer-up-to-58k-azure-genai-hong-kong-kowloon-city-district/jn-122025-183450 on this role HK via Adecco website with your CV. For any further discussion.
Please note that only short listed candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes.