Bright Purple Resourcing

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Edinburgh (Hybrid) with a contract length of unspecified duration, offering £450–£525 per day. Key skills include strong SQL, experience with relational databases, cloud platforms (Azure/AWS), and CI/CD practices.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date
August 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Edinburgh, Scotland, United Kingdom
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🧠 - Skills detailed
#Oracle #Databases #SQL Server #Deployment #Scripting #AWS (Amazon Web Services) #Automation #Python #Data Pipeline #Data Engineering #SQL (Structured Query Language) #Data Analysis #Version Control #Snowflake #Azure #Scala #Cloud
Role description
Edinburgh (Hybrid) Inside IR35 £450–£525 per day Are you a Data Engineer who enjoys building reliable, scalable data pipelines that power business-critical reporting and analytics? We're recruiting for an experienced Data Engineer to join a growing data function, helping deliver trusted, high-quality data products across a large enterprise environment. Working as part of a collaborative engineering team, you'll design, build and maintain data pipelines while ensuring solutions are secure, well-governed and built to modern engineering standards. What you'll be doing: • Design, develop and maintain robust data pipelines and data products. • Build scalable solutions that move data from source systems into reporting and analytics platforms. • Deliver high-quality engineering solutions using modern CI/CD practices. • Monitor pipeline health, investigate incidents and resolve production issues. • Work closely with Data Analysts, Data Owners and technical teams to deliver trusted data solutions. • Apply engineering standards, governance and quality controls throughout the delivery lifecycle. • Contribute to automation, testing and continuous improvement initiatives. What we're looking for: • Commercial experience delivering enterprise data engineering solutions. • Strong SQL and experience with relational databases such as SQL Server, Oracle or Snowflake. • Experience building integrations, APIs or data pipelines. • Knowledge of cloud platforms such as Azure or AWS. • Experience with scripting using SQL, Python or PowerShell. • Experience with CI/CD, version control and deployment tooling. • Strong troubleshooting skills with a passion for engineering quality and operational excellence. If you are keen APPLY NOW.