Senior Data Engineer (London Area)

Data Engineer – Outside IR35 – £500–£550 per day – 6-Month Contract – Hybrid (Central London, 1–2 days/month)

Our client, a mission driven business at the forefront of digital transformation in the media space is looking for a highly capable Data Engineer to join their team on a 6-month contract (Outside IR35). This role is central to building and scaling robust data pipelines that directly impact how creators are recognised and rewarded across global streaming platforms.

This is a fantastic opportunity for a hands-on engineer who thrives in a fast-paced, data-driven environment and enjoys solving complex technical challenges that have real-world impact.

Key Responsibilities:

• Design, develop, and maintain high-quality, scalable data pipelines and backend services.
• Implement resilient, high-volume data processing systems with modern technologies.
• Optimise infrastructure for performance, scalability, and reliability.
• Write production-ready code, following best practices in testing and Infrastructure as Code (IaC).
• Work closely with engineering leads, product teams, and architects to shape the data landscape.
• Contribute to a culture of technical excellence and continuous improvement.

Ideal Candidate:

• Extensive experience designing and building large-scale data pipelines and infrastructure.
• Proficient in:
• Data modelling techniques
• AWS managed services, SQL & NoSQL databases
• Modern cloud data warehouses (e.g. Snowflake, Redshift, Trino)
• Infrastructure as Code (AWS CDK or equivalent)
• Strong commitment to clean code, quality, testing, and operational excellence.
• Comfortable working in agile teams and independently driving complex solutions.
• Passionate about the role of data in creating transparency and value.

Contract Details:

• £500–£550 per day (Outside IR35)
• 6-month initial contract with likely extensions
• Hybrid working – 1–2 days per month onsite in Central London

This is a brilliant contract opportunity for a Data Engineer to work on meaningful projects, handling massive datasets and making a measurable mission driven difference to people across the world.