2 of 2 Remote Data Engineering Jobs in Cambridge

Salary: £49,100-£64,600 with an average profit share of £3,532-£10,861. Softwire is one of the UK's leading digital technology consultancies, offering services in data, AI, cloud, CX, innovation, design, and software engineering. We deliver high-profile, mission-critical, and transformational projects for household names across the public and private sectors. Founded on the … clients. Our culture and values emphasize doing jobs properly, making work fulfilling and fun, extending kindness, and trusting each other to reduce bureaucracy. In brief We seek well-rounded data engineers capable of tackling complex data challenges, impressing clients, and impacting team output. We offer a supportive environment with career development, mentorship, and diverse project opportunities. You will … work with talented developers and data engineers, supported by a Technical Lead, on projects such as: Data modeling for Moorfields Eye Hospital's INSIGHT programme Maintaining data pipelines and dashboards on Elexon's Azure platform Implementing AI transcription services for the BBC using GenAI Migrating legacy Excel workflows for a financial services firm Modeling data for More ❯

Overview: Arm is scaling for the age of AI, and data is key for that journey! We're building a robust internal data platform to empower engineers and enable innovation across the business. To support that mission, we're growing our Data Engineering Platform team and investing deeply in modern, reliable infrastructure. We're seeking a …/Scala, TypeScript, Python). Validated experience operating distributed systems at scale in production. Cloud AWS (primary), Kubernetes (future), Docker (current), Terraform. Excellent debugging skills across network, systems, and data stack. Observability tooling, e.g. custom metrics pipelines, OpenTelemetry tracing, or integrations across telemetry stacks. Security engineering and practical understanding of IAM hardening, zero-trust network principles, and secrets … management in data-heavy systems. Passion for building reliable, secure, and user-friendly platforms and products. "Nice To Have": Exposure to Azure or GCP environments. Experience migrating to Kubernetes (especially from legacy orchestrators!) Data platform expertise, knowledge of lakehouse architectures, Delta Lake, or real-time data processing patterns. Experience working in hybrid environments with asynchronous teamwork. Tuning More ❯