Senior Data Engineer, Python, SQL & GCP - Contract - Outside IR35
Posted Today by Digital Skills Ltd
£400 Per day
Outside
Remote
Europe , UK
Summary: This role is for a Senior Data Engineer focused on building and supporting large-scale data platforms and pipelines, primarily using Python, SQL, and Google Cloud Platform. The position requires strong technical skills and effective stakeholder engagement, working closely with ML and operational teams. The role is fully remote and offers a contract duration of 12 months. The ideal candidate should have extensive experience in data engineering and a solid understanding of data infrastructure and analytics.
Key Responsibilities:
- Design, build and maintain robust data pipelines and data processing architectures
- Develop and optimise data solutions using Python and SQL
- Work with cloud based data platforms, primarily within Google Cloud Platform
- Troubleshoot and improve existing data systems for performance, reliability and scalability
- Collaborate closely with ML, analytics and operational teams to enable data and AI use cases
- Apply software engineering best practices including code reviews, version control and CI/CD
- Contribute to data platform and system architecture decisions
Key Skills:
- Strong commercial experience with Python and SQL
- Proven background in cloud data engineering, ideally using GCP or transferable cloud platforms
- Experience building and operating big data pipelines and distributed data systems
- Solid understanding of database and system architecture
- Familiarity with ML and AI environments and data requirements
- Experience working in a software engineering led environment
- Strong communication and stakeholder management skills
Salary (Rate): £400 per day
City: undetermined
Country: UK
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Detailed Description From Employer:
Senior Data Engineer, Python, SQL & GCP
The Rate - £400 per day
IR35 Status - Outside IR35
The Location - Remote, Europe or UK based
The Working Pattern - Fully remote
Duration - 12 months
About the Client
Digital Skills are working with a global Technology Giant operating at significant scale across data, analytics and machine learning platforms. The organisation is investing heavily in modern data infrastructure to support advanced analytics and ML driven use cases across multiple business domains.
About the Role
This is a hands on Senior Data Engineer role focused on building, improving and supporting large scale data platforms and pipelines. The role sits at the intersection of data infrastructure, ML systems and operational teams, requiring strong technical depth alongside effective stakeholder engagement.
Responsibilities
- Design, build and maintain robust data pipelines and data processing architectures
- Develop and optimise data solutions using Python and SQL
- Work with cloud based data platforms, primarily within Google Cloud Platform
- Troubleshoot and improve existing data systems for performance, reliability and scalability
- Collaborate closely with ML, analytics and operational teams to enable data and AI use cases
- Apply software engineering best practices including code reviews, version control and CI/CD
- Contribute to data platform and system architecture decisions
Desired Skills and Experience
- Strong commercial experience with Python and SQL
- Proven background in cloud data engineering, ideally using GCP or transferable cloud platforms
- Experience building and operating big data pipelines and distributed data systems
- Solid understanding of database and system architecture
- Familiarity with ML and AI environments and data requirements
- Experience working in a software engineering led environment
- Strong communication and stakeholder management skills
Summary of the Best Candidate
The ideal candidate will be a senior, hands on Data Engineer with several years' experience building and supporting data platforms at scale. You will be technically strong in Python, SQL and cloud data engineering, comfortable working across data, ML and operational teams, and confident contributing to complex, business critical data systems in a fast paced environment.