Job Description
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
Full Stack Engineer - Inside IR35 - Hybrid
We are looking for a Full Stack Engineer to help design, build, and operate scalable data systems that support analytical and data-driven workflows. You will work closely with users across the business to understand their needs, translate them into robust technical solutions, and continuously improve our data platform.
This role is ideal for someone who enjoys working at the intersection of engineering, data, and user experience, with a strong focus on reliability, usability, and iterative improvement.
Key Responsibilities
- Design, build, and maintain production-grade data systems and pipelines
- Develop scalable solutions for data ingestion, transformation, and orchestration
- Collaborate directly with stakeholders to understand workflows, identify pain points, and deliver impactful solutions
- Operate and improve cloud-based infrastructure and services
- Support analytical and data-intensive workloads with performant, reliable systems
- Contribute to platform tooling and engineering best practices
- Troubleshoot issues and continuously enhance system reliability and performance
Required Experience
- Some experience building and operating production systems, ideally developed iteratively over time
- Strong proficiency in Python, SQL, and cloud platforms (preferably AWS)
- Experience with data pipelines and orchestration tools (e.g., Dagster)
- Experience working with analytical or data-intensive workloads
- Ability to work directly with users to understand workflows, identify pain points, and translate them into technical solutions
- Strong problem-solving skills with a systems-thinking mindset
Highly Valuable Experience
- Experience with .NET, ideally C#
- Experience building internal platforms or developer tooling (e.g., PaaS)
- Experience supporting data science or analytics workflows
- Experience with CI/CD pipelines (e.g., Azure DevOps) and infrastructure-as-code tools (e.g., Terraform)
- Familiarity with modern data platforms such as Snowflake
- Exposure to machine learning / AI workflows and related tooling
- Strong familiarity with Python libraries and developer tooling
Nice to Have
- Experience in investment or financial services environments
- Exposure to R or mixed-language analytics ecosystems
- Experience integrating GenAI tools into data or business workflows
To apply for this role please submit your CV or contact Dillon Blackburn on or at .
Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment. xwzovoh
Remote working/work at home options are available for this role.