

Contract Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Contract Data Engineer position for 6 months, offering a pay rate of "£X per day" in a hybrid location in Greater Manchester. Key skills include Azure Databricks, Azure Data Factory, SQL, and experience with finance systems and data warehousing.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Rochdale, England, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #Azure Databricks #Data Engineering #Data Analysis #BI (Business Intelligence) #Cloud #Data Warehouse #Azure #Databricks #DevOps #ADF (Azure Data Factory) #Azure Data Factory #EDW (Enterprise Data Warehouse) #Python #PySpark #Spark (Apache Spark)
Role description
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Description
We are looking for a contract Data Engineer, to join us as we look to support our stakeholders with Finance, specifically improving the accuracy of our existing finance reporting.
You will deliver data products in line with business requirements which enable data driven decision making. Understand business needs, design and deliver cloud solutions which enable data analysis across the business.
You'll help is to be ready to move our platform to the next stage and explore Data Engineering concepts, demonstrating what a well designed data platform can provide for our customers.
• Design, deliver and improve data products in a timely fashion.
• Develop the current data warehouse solution, designing and developing facts and dimensions for use in analysis and financial decision making.
• Assist the BI and Analytics teams in interpreting requirements and deliver engineering solutions which meet the business needs.
• Find and implement new methods or technology to reduce the time required to ingest and self-serve data.
The Team
The data team is an enabling team and as such it is important to note that we are a key function for all other teams across the business. We consist of two teams – Business Intelligence Developers and Data Engineering – who work closely alongside each other from end to end. We design solutions together and share best practice. Within the teams we recognise individual skillsets and encourage knowledge sharing sessions and self-development.
About You
• Experience with finance/financial systems and concepts
• Azure Databricks
• Azure Data Factory
• Excellent SQL skills
• Good Python/Spark/pyspark skills
• Experience of Kimball Methodology and star schemas (dimensional model).
• Experience of working with enterprise data warehouse solutions.
• Experience of working with structured and unstructured data
• Experience of a retail environment preferred
• A good understanding of cloud technologies and DevOps practice - Scaling and cost, CI/CD, cost saving best practice.
• Open to collaborative working
Diversity
We recognise and value the importance of diversity to help make sure we have lots of different perspectives when we are building products and services. We know that this will help us build useful and accessible things which our customers will love. This is great news for our business. Diversity for us is also, importantly, about building happy teams full of people that want to learn and want to be inspired by each other and our different experiences and backgrounds.
Recruitment Process
We’ll help make the interview process as transparent and stress-free as possible.
We review applications individually, and if we feel you would be a good fit, we’ll invite you for a call or Teams video for an informal chat about the role and to see if we’re a good fit for you.
We value open and honest conversations and collaboration, allowing you to learn about our work in an informal and friendly environment. We want to know about you and why you feel this is your opportunity.
Please note this is not a remote role, and we expect that you will be able to attend Head Office in a hybrid way in Greater Manchester.