

Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and is remote. Key skills include SQL, Python, Google BigQuery, and PowerBI. Experience in data ingestion, ETL, and visualization is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
560
🗓️ - Date discovered
May 15, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#SSIS (SQL Server Integration Services) #Data Ingestion #Tableau #Scripting #Customer Segmentation #Data Engineering #Data Management #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Security #Python #Clustering #SSRS (SQL Server Reporting Services) #Visualization #API (Application Programming Interface) #BigQuery #Looker #Capacity Management
Role description
Our client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless data ingestion, transformation, and reporting, as well as working with key stakeholders to provide timely and actionable insights.
Main Responsibilities
Engineering:
• Developing and maintaining business-critical data ingestion, analysis, and management systems.
• Utilizing API and ETL methods to integrate with internal systems.
• Building tools to minimize errors and improve customer experience.
• Automating data development and governance to improve data health.
• Designing procedures for system troubleshooting, capacity management, and scaling infrastructure.
Analytics:
• Developing scripts and data outputs to automate reporting and visualizations.
• Ensuring timely and easily translatable data delivery for business stakeholders.
• Supporting customer segmentation and data clustering for insights into customer cohorts.
• Owning and ensuring the security, governance, and usability of visualization tools like PowerBI.
Key skills for the Data Engineer include:
• Strong teamworking and communication abilities.
• Experience with scripting languages like SQL, Python, (SSIS/SSRS), and Powershell.
• Familiarity with Google BigQuery.
• Expertise in visualization tools such as PowerBI, Tableau, or Looker.
• Excellent problem-solving abilities and attention to detail.
• Ability to manage multiple projects with excellent organizational skills.
Our client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless data ingestion, transformation, and reporting, as well as working with key stakeholders to provide timely and actionable insights.
Main Responsibilities
Engineering:
• Developing and maintaining business-critical data ingestion, analysis, and management systems.
• Utilizing API and ETL methods to integrate with internal systems.
• Building tools to minimize errors and improve customer experience.
• Automating data development and governance to improve data health.
• Designing procedures for system troubleshooting, capacity management, and scaling infrastructure.
Analytics:
• Developing scripts and data outputs to automate reporting and visualizations.
• Ensuring timely and easily translatable data delivery for business stakeholders.
• Supporting customer segmentation and data clustering for insights into customer cohorts.
• Owning and ensuring the security, governance, and usability of visualization tools like PowerBI.
Key skills for the Data Engineer include:
• Strong teamworking and communication abilities.
• Experience with scripting languages like SQL, Python, (SSIS/SSRS), and Powershell.
• Familiarity with Google BigQuery.
• Expertise in visualization tools such as PowerBI, Tableau, or Looker.
• Excellent problem-solving abilities and attention to detail.
• Ability to manage multiple projects with excellent organizational skills.