Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Manchester, UK, on a 6-month contract (outside IR35) at £500-£650 per day. Key skills include Databricks, Spark, Delta Lake, Python, and Azure experience is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
June 3, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Manchester
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🧠 - Skills detailed
#Scala #Data Engineering #Data Warehouse #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Version Control #Delta Lake #DevOps #Data Analysis #Azure #Databricks #SQL (Structured Query Language) #Python #Datasets #Apache Spark #Data Pipeline #Cloud #Data Quality
Role description
Job Title: Contract Data Engineer
Location: Manchester, UK (3 Days On-Site per Week)
Contract Type: 6 Months (Outside IR35)
Day Rate: £500-£650 per day (DOE)
Start Date: ASAP
About the Role:
We're looking for a skilled Data Engineer with strong experience working with Databricks to join an exciting 6-month contract, contributing to a high-impact data platform initiative for a leading organisation in Manchester. This is a part-time, flexible contract (3 days per week, on-site) and outside IR35.
You'll work closely with a data team to design, build, and optimise data pipelines on the Databricks Lakehouse Platform, helping to modernise and scale enterprise data infrastructure.
Key Responsibilities:
• Build and maintain high-performance ETL/ELT pipelines using Databricks and Apache Spark
• Implement and support scalable Delta Lake solutions on the Azure platform
• Collaborate with data analysts, scientists, and business stakeholders to deliver clean, validated, and governed datasets
• Tune performance and troubleshoot Spark workloads
• Contribute to best practices in data quality, version control, and DevOps for data
Requirements:
• Proven hands-on experience with Databricks, Spark, and Delta Lake in production environments
• Proficient in Python (or Scala) for data engineering workflows
• Strong SQL and data transformation skills
• Experience with Azure (preferred) or other cloud platforms
• Solid understanding of data warehouse/lakehouse concepts and data modelling
• Comfortable working independently with limited supervision
Job Title: Contract Data Engineer
Location: Manchester, UK (3 Days On-Site per Week)
Contract Type: 6 Months (Outside IR35)
Day Rate: £500-£650 per day (DOE)
Start Date: ASAP
About the Role:
We're looking for a skilled Data Engineer with strong experience working with Databricks to join an exciting 6-month contract, contributing to a high-impact data platform initiative for a leading organisation in Manchester. This is a part-time, flexible contract (3 days per week, on-site) and outside IR35.
You'll work closely with a data team to design, build, and optimise data pipelines on the Databricks Lakehouse Platform, helping to modernise and scale enterprise data infrastructure.
Key Responsibilities:
• Build and maintain high-performance ETL/ELT pipelines using Databricks and Apache Spark
• Implement and support scalable Delta Lake solutions on the Azure platform
• Collaborate with data analysts, scientists, and business stakeholders to deliver clean, validated, and governed datasets
• Tune performance and troubleshoot Spark workloads
• Contribute to best practices in data quality, version control, and DevOps for data
Requirements:
• Proven hands-on experience with Databricks, Spark, and Delta Lake in production environments
• Proficient in Python (or Scala) for data engineering workflows
• Strong SQL and data transformation skills
• Experience with Azure (preferred) or other cloud platforms
• Solid understanding of data warehouse/lakehouse concepts and data modelling
• Comfortable working independently with limited supervision
