

Senior Data Engineer (Contract)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Contract) for an initial 2 months, paying circa £400/day, fully remote. Key skills include Microsoft Azure, Snowflake, Power BI, and GitHub. Candidates must work with US teams during Eastern Time hours.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
400
🗓️ - Date discovered
May 6, 2025
🕒 - Project duration
1 to 3 months
🏝️ - Location type
Remote
📄 - Contract type
Outside IR35
🔒 - Security clearance
Unknown
📍 - Location detailed
United Kingdom
🧠 - Skills detailed
#Snowflake #Consul #CRM (Customer Relationship Management) #Data Warehouse #Microsoft Azure #Datasets #Automation #Azure #Scala #Cloud #Data Ingestion #Triggers #Infrastructure as Code (IaC) #Data Engineering #BI (Business Intelligence) #Microsoft Power BI #GitHub #Azure cloud #Terraform #dbt (data build tool) #"ETL (Extract #Transform #Load)" #API (Application Programming Interface) #Azure Function Apps
Role description
Role: Senior Data Engineer
Contract Length: Initial 2 months, with potential for extension
Day Rate: Circa £400/day
Location: Fully remote
Engagement: Outside IR35
Client: US-based Consultancy
Note: Candidates must be available to work with US-based teams (Eastern Time) for some crossover hours (UK is +5 hrs).
Project Overview
A US-based consultancy is seeking a seasoned Senior Data Engineer to support a short-term engagement aimed at optimising a client’s data infrastructure. The objective is to consolidate existing manual reports into a unified, automated reporting platform using Power BI, underpinned by modern cloud data technologies.
This is a hands-on role focused on the architecture and implementation of the data platform, reporting workflows, and automation of data refreshes.
Essential Skills & Experience
You should have demonstrable experience in the following:
• Microsoft Azure (Cloud Infrastructure): Hosting and deploying data infrastructure.
• GitHub: Used for repository hosting and CI/CD pipelines.
• Snowflake (Data Warehouse): Designing, building and maintaining scalable, cost-effective data warehouse solutions.
• OpenTofu: (Fork of Terraform) Used for managing Snowflake infrastructure as code.
• DBT (Data Build Tool): For transforming and modelling data within Snowflake to create clean, reportable datasets.
• Power BI: For building dynamic, automated reports.
Desirable (Nice-to-Have) Experience
Experience integrating the following platforms into Snowflake via Azure Function Apps or Zapier is beneficial:
• Sera CRM: Data ingestion from event triggers (e.g. appointment, invoice, quote, membership events).
• Five9 (Contact Centre): API-based report ingestion (inbound/outbound call data).
• QuickBooks Online: Scheduled extraction of financial data for reporting purposes (e.g. Sales by Class Summary).
Role: Senior Data Engineer
Contract Length: Initial 2 months, with potential for extension
Day Rate: Circa £400/day
Location: Fully remote
Engagement: Outside IR35
Client: US-based Consultancy
Note: Candidates must be available to work with US-based teams (Eastern Time) for some crossover hours (UK is +5 hrs).
Project Overview
A US-based consultancy is seeking a seasoned Senior Data Engineer to support a short-term engagement aimed at optimising a client’s data infrastructure. The objective is to consolidate existing manual reports into a unified, automated reporting platform using Power BI, underpinned by modern cloud data technologies.
This is a hands-on role focused on the architecture and implementation of the data platform, reporting workflows, and automation of data refreshes.
Essential Skills & Experience
You should have demonstrable experience in the following:
• Microsoft Azure (Cloud Infrastructure): Hosting and deploying data infrastructure.
• GitHub: Used for repository hosting and CI/CD pipelines.
• Snowflake (Data Warehouse): Designing, building and maintaining scalable, cost-effective data warehouse solutions.
• OpenTofu: (Fork of Terraform) Used for managing Snowflake infrastructure as code.
• DBT (Data Build Tool): For transforming and modelling data within Snowflake to create clean, reportable datasets.
• Power BI: For building dynamic, automated reports.
Desirable (Nice-to-Have) Experience
Experience integrating the following platforms into Snowflake via Azure Function Apps or Zapier is beneficial:
• Sera CRM: Data ingestion from event triggers (e.g. appointment, invoice, quote, membership events).
• Five9 (Contact Centre): API-based report ingestion (inbound/outbound call data).
• QuickBooks Online: Scheduled extraction of financial data for reporting purposes (e.g. Sales by Class Summary).