Careerwise

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 12-month contract in Manchester (Hybrid – 2 days onsite) with a pay rate of £200 per day. Requires 1+ year experience, strong SQL and Python skills, and familiarity with Azure Databricks or Power BI.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
200
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🗓️ - Date
October 7, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Manchester Area, United Kingdom
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🧠 - Skills detailed
#BI (Business Intelligence) #Data Pipeline #Azure #Microsoft Power BI #Data Engineering #Cloud #Delta Lake #SQL (Structured Query Language) #Agile #"ETL (Extract #Transform #Load)" #Python #Data Quality #Databricks #Azure Databricks
Role description
🚀 Data Engineer | 12-Month Contract | Manchester (Hybrid – 2 Days Onsite) 💰 Day Rate: £200 per day 📍 Location: Manchester / North West (Hybrid – 2 days onsite) 🕐 Duration: 12 months (extendable) We’re looking for an enthusiastic Junior Data Engineer to join a growing data team delivering large-scale enterprise solutions. This is a great opportunity for someone early in their career with solid SQL and Python skills, eager to grow in real-world data engineering environments. 🔧 What You’ll Do • Build and maintain data pipelines and data stores using modern data tools. • Support ETL/ELT processes and data preparation for analytics. • Conduct data quality checks and performance tuning. • Collaborate with senior engineers and analysts in agile project teams. 🎯 What We’re Looking For • 1+ year of hands-on experience in data engineering or data analytics. • Strong working knowledge of SQL and Python. • Familiarity with Azure Databricks, Power BI, or Delta Lake (nice to have). • Analytical mindset, problem-solving attitude, and eagerness to learn. • Based in or commutable to Manchester (3 days per week onsite). • NO SPONSORSHIP PROVIDED 🌟 Why Apply • Real-world experience in enterprise data delivery. • Collaborative environment with strong technical mentorship. • Long-term growth opportunities across data engineering and cloud analytics. 📩 Interested? Apply now or message me directly to learn more.