TAGMATIX360
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include data science, ML, ETL/ELT, and experience with Snowflake, Azure, and AWS. Industry experience in data architecture and BI tools is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Newbury, England, United Kingdom
-
🧠 - Skills detailed
#Data Pipeline #NoSQL #Azure #ML (Machine Learning) #Data Access #Data Architecture #"ETL (Extract #Transform #Load)" #Snowflake #BI (Business Intelligence) #Data Engineering #Security #Tableau #AWS (Amazon Web Services) #Microsoft Power BI #Scala #Databases #Data Quality #Data Ingestion #Data Science #Cloud
Role description
Key skills required for the role: Data science, ML , EDA and feature engineering. Experience of having ideated, developed and deployed to production end to end data science use cases
• Design and architect scalable, secure, and high -performance data solutions primarily using the Snowflake platform.
• Leverage Openflow experience to optimize data workflows and integrations.
• Develop and maintain ETL/ELT pipelines for data ingestion from various sources, including Salesforce, relation, files and NoSQL databases.
• Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions.
• Implement dimensional modeling techniques to support data warehousing and business intelligence needs.
• Build and optimize data pipelines across cloud environments (Azure and AWS) ensuring efficient data movement and transformation.
• Ensure data quality, governance, and security best practices are adhered to across the data architecture.
• Support analytics and reporting teams by enabling data access and integration with Power BI and Tableau dashboards.
• Stay current with emerging data technologies and recommend improvements to existing data architecture.
Key skills required for the role: Data science, ML , EDA and feature engineering. Experience of having ideated, developed and deployed to production end to end data science use cases
• Design and architect scalable, secure, and high -performance data solutions primarily using the Snowflake platform.
• Leverage Openflow experience to optimize data workflows and integrations.
• Develop and maintain ETL/ELT pipelines for data ingestion from various sources, including Salesforce, relation, files and NoSQL databases.
• Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions.
• Implement dimensional modeling techniques to support data warehousing and business intelligence needs.
• Build and optimize data pipelines across cloud environments (Azure and AWS) ensuring efficient data movement and transformation.
• Ensure data quality, governance, and security best practices are adhered to across the data architecture.
• Support analytics and reporting teams by enabling data access and integration with Power BI and Tableau dashboards.
• Stay current with emerging data technologies and recommend improvements to existing data architecture.
