SQL Data Engineer / Analytics Engineer
Brightbox Grp Ltd
Charing Cross, United Kingdom
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
£ 117KJob location
Remote
Charing Cross, United Kingdom
Tech stack
Amazon Web Services (AWS)
Data analysis
Unit Testing
Azure
Databases
Information Engineering
Data Integrity
ETL
Relational Databases
Python
Operational Databases
Power BI
SQL Databases
Data Streaming
Tableau
Google Cloud Platform
GIT
Software Version Control
Job description
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.
Requirements
- Experience in the energy sector.
- Understanding of workforce planning.
- Familiarity with unit testing and quality assurance practices.
- Exposure to cloud deployment (AWS, Azure, GCP).