Advanced Resource Managers UK

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer/Analyst in the banking sector, contract until year-end, hybrid in Leeds/Manchester. Requires SQL, Python, Azure expertise, and previous banking experience. Pay rate is negotiable, inside IR35, focusing on data mining and visualization.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 27, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Inside IR35
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#Data Visualisation #Python #SQL (Structured Query Language) #Automation #Data Mining #Data Engineering #Azure
Role description
Data Engineer/Analyst - Payments Contract until the end of the year – Inside IR35 – rate negotiable Leeds/Manchester – hybrid working – 2 days onsite Banking sector – must have previous experience The Role: β€’ Develop recommendations and own delivery of initiatives to drive wallet spend β€’ Develop recommendations and own delivery of initiatives to increase market share β€’ Design and create a self-serve dashboard to track market share and relevant contributing factors Skills & Experience: β€’ Fluent data mining and manipulation capability β€’ Commercial awareness experience β€’ Strong knowledge of Azure β€’ SQL and Python experience β€’ Reconciliation and data validation checks are conducted as standard practice using sensible available sources β€’ Able to determine the key data points required to conduct analysis β€’ Debit payments expertise (desired - current account experience in a UK FS as a minimum) β€’ Knowledge of banking profitability and how to create a business case β€’ Customer profiling / segmentation experience β€’ Conversion analysis β€’ Data visualisation and Business Reporting β€’ Optimisation and automation as second nature β€’ Design of marketing campaigns - target audience, proposition, testing structure, measurement with statistical significance β€’ Confident speaker for presentation and stakeholder management β€’ Able to deliver at pace