

WeDo Technology Solutions Limited
Staff Data Engineer | London | Contract | Inside IR35
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Staff Data Engineer on a 6-month contract in London, paying £750-900 per day. Key skills include AWS, PySpark, and large-scale data pipeline modernization. Experience in technical leadership and cloud-native architectures is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
900
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🗓️ - Date
July 15, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Quality #Scala #Airflow #AI (Artificial Intelligence) #Data Pipeline #"ETL (Extract #Transform #Load)" #Leadership #Observability #AWS (Amazon Web Services) #AWS Glue #Apache Spark #Python #Cloud #Data Engineering #PySpark #Apache Airflow
Role description
Staff Data Engineer | AWS | PySpark | Data Modernisation | London | Contract | Inside IR35
We're supporting a global, technology-led organisation undertaking a large-scale cloud data transformation programme.
This isn't a traditional Data Engineering role. The organisation is modernising hundreds of complex data pipelines, establishing reusable engineering patterns and embedding engineering excellence across its Data function.
As a Staff-level engineer, you'll combine deep hands-on technical expertise with organisation-wide technical influence, helping shape how modern Data Engineering is delivered across multiple engineering teams.
This is an opportunity to work on enterprise-scale data movement, cloud-native architectures and AI-assisted software engineering within a highly collaborative engineering culture.
You'll be responsible for
• Defining technical standards and engineering patterns for a large-scale Data Modernisation programme
• Re-engineering complex legacy data pipelines into production-grade PySpark
• Building scalable, reusable data movement frameworks across multiple engineering teams
• Driving best practice around AWS Glue, Apache Spark and Apache Airflow
• Designing high-quality testing frameworks covering performance, data quality and reliability
• Leveraging Agentic AI development tools to improve engineering productivity while maintaining code quality
• Coaching and influencing experienced engineers through technical leadership rather than line management
• Working closely with enterprise architecture and platform teams to improve how data is governed, managed and consumed
We're looking for someone with experience in
• Staff, Principal or Lead Data Engineering roles
• Python and expert-level PySpark
• AWS Glue
• Apache Spark
• Apache Airflow
• Cloud-native Data Engineering architectures
• Large-scale data pipeline modernisation
• Building reusable engineering patterns within enterprise environments
• Data testing, validation and observability
• AI-assisted software development using modern coding assistants
• Working within regulated or highly governed organisations
More important than any individual technology is your ability to combine hands-on engineering excellence with technical leadership, helping multiple engineering teams adopt consistent, scalable engineering practices.
Contract
• £750-900 per day (inclusive)
• Initial 6-month contract with significant programme runway
• Inside IR35
• London (3 days per week on-site)
Staff Data Engineer | AWS | PySpark | Data Modernisation | London | Contract | Inside IR35
We're supporting a global, technology-led organisation undertaking a large-scale cloud data transformation programme.
This isn't a traditional Data Engineering role. The organisation is modernising hundreds of complex data pipelines, establishing reusable engineering patterns and embedding engineering excellence across its Data function.
As a Staff-level engineer, you'll combine deep hands-on technical expertise with organisation-wide technical influence, helping shape how modern Data Engineering is delivered across multiple engineering teams.
This is an opportunity to work on enterprise-scale data movement, cloud-native architectures and AI-assisted software engineering within a highly collaborative engineering culture.
You'll be responsible for
• Defining technical standards and engineering patterns for a large-scale Data Modernisation programme
• Re-engineering complex legacy data pipelines into production-grade PySpark
• Building scalable, reusable data movement frameworks across multiple engineering teams
• Driving best practice around AWS Glue, Apache Spark and Apache Airflow
• Designing high-quality testing frameworks covering performance, data quality and reliability
• Leveraging Agentic AI development tools to improve engineering productivity while maintaining code quality
• Coaching and influencing experienced engineers through technical leadership rather than line management
• Working closely with enterprise architecture and platform teams to improve how data is governed, managed and consumed
We're looking for someone with experience in
• Staff, Principal or Lead Data Engineering roles
• Python and expert-level PySpark
• AWS Glue
• Apache Spark
• Apache Airflow
• Cloud-native Data Engineering architectures
• Large-scale data pipeline modernisation
• Building reusable engineering patterns within enterprise environments
• Data testing, validation and observability
• AI-assisted software development using modern coding assistants
• Working within regulated or highly governed organisations
More important than any individual technology is your ability to combine hands-on engineering excellence with technical leadership, helping multiple engineering teams adopt consistent, scalable engineering practices.
Contract
• £750-900 per day (inclusive)
• Initial 6-month contract with significant programme runway
• Inside IR35
• London (3 days per week on-site)






