

BrightBox Group Ltd
SQL Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an SQL Developer/Data Engineer with a contract length of unspecified duration, offering £400-£450pd (Outside IR35). Key skills include SQL, ETL, and BI tools like Power BI or Tableau. Experience in the energy sector is preferred. Remote work.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
450
-
🗓️ - Date
January 8, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
Liverpool, England, United Kingdom
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🧠 - Skills detailed
#Azure #"ETL (Extract #Transform #Load)" #Cloud #Python #Database Schema #Data Quality #SQL (Structured Query Language) #Data Engineering #GCP (Google Cloud Platform) #GIT #BI (Business Intelligence) #Microsoft Power BI #AWS (Amazon Web Services) #Version Control #Documentation #Unit Testing #Data Integrity #Scala #Deployment #Datasets #Quality Assurance #Data Analysis #Tableau
Role description
Data Engineer / Analytics Engineer
Contract
£400-£450pd (Outside IR35)
Remote working
About the Role
We are looking for a skilled Data Engineer (or Analytics Engineer, depending on experience) to design, build, and maintain the data foundations that power our reporting, analytics, and decision-making. You will work closely with data analysts, engineers, and client teams to create clean, reliable datasets and ensure seamless data flows across our systems.
What You’ll Do
Database & Architecture
• Design and implement relational database schemas.
• Set up and maintain raw, test, and production database environments.
• Ensure data integrity, scalability, and performance across systems.
Data Engineering / ETL
• Build and maintain ETL/ELT pipelines using SQL or Python.
• Transform and wrangle data from multiple sources into analytics-ready tables.
• Create reliable methods to read/write user inputs from the front-end into the database.
BI & Reporting Integration
• Prepare clean, structured, reporting-ready data models.
• Ensure smooth integration with BI tools such as Power BI or Tableau.
• Support analysts by providing well-designed datasets and documentation.
Engineering & Collaboration
• Use Git for version control and collaborative development.
• Maintain clear documentation and implement data quality checks.
• Work closely with data analysts, engineers, and client teams to deliver high-quality solutions.
Nice to Have
• Experience in the energy sector.
• Understanding of workforce planning.
• Familiarity with unit testing and quality assurance practices.
• Exposure to cloud deployment (AWS, Azure, GCP).
Data Engineer / Analytics Engineer
Contract
£400-£450pd (Outside IR35)
Remote working
About the Role
We are looking for a skilled Data Engineer (or Analytics Engineer, depending on experience) to design, build, and maintain the data foundations that power our reporting, analytics, and decision-making. You will work closely with data analysts, engineers, and client teams to create clean, reliable datasets and ensure seamless data flows across our systems.
What You’ll Do
Database & Architecture
• Design and implement relational database schemas.
• Set up and maintain raw, test, and production database environments.
• Ensure data integrity, scalability, and performance across systems.
Data Engineering / ETL
• Build and maintain ETL/ELT pipelines using SQL or Python.
• Transform and wrangle data from multiple sources into analytics-ready tables.
• Create reliable methods to read/write user inputs from the front-end into the database.
BI & Reporting Integration
• Prepare clean, structured, reporting-ready data models.
• Ensure smooth integration with BI tools such as Power BI or Tableau.
• Support analysts by providing well-designed datasets and documentation.
Engineering & Collaboration
• Use Git for version control and collaborative development.
• Maintain clear documentation and implement data quality checks.
• Work closely with data analysts, engineers, and client teams to deliver high-quality solutions.
Nice to Have
• Experience in the energy sector.
• Understanding of workforce planning.
• Familiarity with unit testing and quality assurance practices.
• Exposure to cloud deployment (AWS, Azure, GCP).





