

Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 6-month contract, paying £400-£500, remote with monthly Derby meetings. Key skills include SQL, SSIS, and data warehouse design using Kimball methodology; Qlik Sense experience is a plus.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
476.1904761905
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🗓️ - Date discovered
June 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Warehouse #Data Engineering #Dimensional Modelling #SQL Server #SSIS (SQL Server Integration Services) #Data Governance #Qlik #Scala #Databases #SQL (Structured Query Language) #Data Quality #Jira
Role description
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Job Title: Data Engineer
Location: Remote (once a month, Derby)
Employment Type: 6-month Contract
Rate: £400-£500 (Outside)
About the Role:
I’m seeking to speak to a skilled Data Engineer to join a data team and play a critical role in maintaining, enhancing, and modernising our on-premises data infrastructure. This role will be primarily focused on SQL development, SSIS package management, and data warehouse design using the Kimball methodology.
You will work closely with other areas of the data function and stakeholders to improve data standards, correct legacy issues, and help ensure the reliability and scalability of our enterprise data solutions. Experience in Qlik Sense is considered a strong plus.
Key Responsibilities:
• Develop, maintain, and optimise SQL scripts and SSIS packages for ETL processes.
• Troubleshoot and resolve data quality and performance issues in legacy systems.
• Design and implement enhancements to the data warehouse architecture, following Kimball dimensional modelling principles.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Participate in sprint planning and issue tracking using Jira.
• Help define and enforce data governance and data standardisation best practices.
Tech Stack & Tools:
• Core Technologies, SQL, SSIS, Qlik Sense (bonus), Kimball methodology
• Infrastructure, On-premise SQL Server databases
Focus Areas - Data warehouse design and development, legacy system improvement, data standardisation.