eTeam
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on an 8-month contract, located in "Newport, Lichfield, Manchester, Darlington, or potentially London." Key skills required include Python, PySpark, SQL, and ETL development, with experience in public sector environments preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 28, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Programming #Data Processing #Azure #Data Governance #GIT #Automation #Data Engineering #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #PySpark #Data Quality #Documentation #Version Control #Cloud #Scala #BI (Business Intelligence) #AWS (Amazon Web Services) #SQL (Structured Query Language) #Agile #Data Pipeline #Python
Role description
Data Engineer (8-Month Contract)
📍Newport, Lichfield, Manchester, Darlington, and potentially London
📅 Contract: 8 Months
We are seeking a Data Engineer to join our team on an 8-month contract. This role offers the opportunity to design, build, and optimise scalable data pipelines that support operational systems, analytics, and Business Intelligence (BI) platforms.
You will play a key role in transforming manual data processes into automated, reliable, and repeatable workflows while ensuring high standards of quality, testing, and documentation.
Key Responsibilities
• Develop and integrate data products and services into operational systems and business processes
• Design and implement scalable data flows connecting operational systems to analytics and BI platforms
• Re-engineer manual data processes to enable automation and scaling
• Design, develop, and optimise ETL pipelines for performance and reliability
• Write and maintain PySpark, Python, and SQL code aligned to design documentation
• Develop unit and integration tests to ensure data quality and pipeline robustness
• Manage code using Git and follow version control best practices
• Maintain documentation for data processing pipelines and statistical functions
• Collaborate with cross-functional teams to troubleshoot and improve solutions
• Report progress and contribute to team planning and delivery
Required Skills & Experience
• Experience in data engineering, ETL development, or data pipeline implementation
• Strong programming skills in Python, PySpark, and SQL
• Understanding of data modelling and pipeline architecture
• Experience writing and executing tests (unit/integration)
• Version control experience using Git
• Ability to work collaboratively in agile or delivery-focused environments
• Strong communication skills and ability to deliver at pace
Desirable
• Experience working in large public sector or enterprise environments
• Exposure to cloud platforms (e.g., Azure/AWS)
• Understanding of data governance and data quality principle
Data Engineer (8-Month Contract)
📍Newport, Lichfield, Manchester, Darlington, and potentially London
📅 Contract: 8 Months
We are seeking a Data Engineer to join our team on an 8-month contract. This role offers the opportunity to design, build, and optimise scalable data pipelines that support operational systems, analytics, and Business Intelligence (BI) platforms.
You will play a key role in transforming manual data processes into automated, reliable, and repeatable workflows while ensuring high standards of quality, testing, and documentation.
Key Responsibilities
• Develop and integrate data products and services into operational systems and business processes
• Design and implement scalable data flows connecting operational systems to analytics and BI platforms
• Re-engineer manual data processes to enable automation and scaling
• Design, develop, and optimise ETL pipelines for performance and reliability
• Write and maintain PySpark, Python, and SQL code aligned to design documentation
• Develop unit and integration tests to ensure data quality and pipeline robustness
• Manage code using Git and follow version control best practices
• Maintain documentation for data processing pipelines and statistical functions
• Collaborate with cross-functional teams to troubleshoot and improve solutions
• Report progress and contribute to team planning and delivery
Required Skills & Experience
• Experience in data engineering, ETL development, or data pipeline implementation
• Strong programming skills in Python, PySpark, and SQL
• Understanding of data modelling and pipeline architecture
• Experience writing and executing tests (unit/integration)
• Version control experience using Git
• Ability to work collaboratively in agile or delivery-focused environments
• Strong communication skills and ability to deliver at pace
Desirable
• Experience working in large public sector or enterprise environments
• Exposure to cloud platforms (e.g., Azure/AWS)
• Understanding of data governance and data quality principle
