6 of 6 Permanent Data Engineering Jobs in Cambridgeshire

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 ❯

project initiatives and activities. Demonstrates an understanding of users' needs and effectively participates in the development and implementation of business solutions. Required Qualifications: Master's degree in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Alternatively, a Bachelor of Science plus Master in Business Administration is acceptable. 8+ years of hands-on experience in software … engineering, DevOps, data science, IT and/or other relevant engineering domains 5+ years of successful Project Management experience in leading and managing devops/platform teams in a technology-driven company Expert understanding and knowledge of DevOps & SRE practices and Agile methodologies. Solid experience deploying SaaS solutions in multi-cloud (AWS, Azure, and/or GCP … teams effectively. Solid organizational and time-management skills, coupled with a keen eye for detail. Exceptional communication with a perfect command of English. Preferred Qualifications: PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience designing and deploying Infrastructure to support machine learning and data analytics solutions. Experience in data engineering More ❯

Going home safe and well. Client focus -Deliver on our promise. Integrity - Always do the right thing. Create opportunity - for our people to excel. The role is for a data engineer specializing in the Microsoft technology stack. It is a client-facing role supporting fee-earning projects and programmes. The principal responsibility of the role is to contribute to … the development of digital tools, processes and outputs, including the data infrastructure underpinning all BI activity, that support the wider project team and enable effective delivery of projects for our clients. You'll be responsible for: You will be expected to work with Microsoft's Fabric platform, principally within the Data Engineering and Data Warehousing workflows. … Identify the best method for extracting data from source systems on a case-by-case basis. Understand, and be able to draw on, effective use of tools such as Notebooks, Dataflow Gen2 and PowerShell. Manage credentials, including service accounts and interfaces with Azure Key Vault, to ensure connections are made in the most secure way. Build integrations with appropriate 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 ❯

Us: We are a dynamic pre-seed startup based in the heart of MIT/Kendall Square in Cambridge, MA on a mission to automate the hardest part of data engineering: Our proprietary technology helps in contextualizing data and building the semantic layer that powers BI, analytics, and AI. Agentic data systems are worthless without enterprise … context. Our platform is the missing piece for organizations that want their data infrastructure to deliver real business value. If you're passionate about transforming how enterprises leverage data to get them ready for AI, we want you on our founding team. We offer a no 'rip & replace' platform without rearchitecting the infrastructure. Role Overview: As Chief Growth … company's go-to-market strategy, accelerating customer acquisition, and building the growth engine that will defi ne our trajectory. You will work closely with the CEO, product, and engineering teams to position our platform as the essential layer for modern data infrastructure. You will work closely with cloud data platform companies such as Snowflake, Databricks, BigQuery More ❯

Us: We are a dynamic pre-seed startup based in the heart of MIT/Kendall Square in Cambridge, MA on a mission to automate the hardest part of data engineering: Our proprietary technology helps in contextualizing data and building the semantic layer that powers BI, analytics, and AI. Agentic data systems are worthless without enterprise … context. Our platform is the missing piece for organizations that want their data infrastructure to deliver real business value. If you’re passionate about transforming how enterprises leverage data to get them ready for AI, we want you on our founding team. We offer a no ‘rip & replace’ platform without rearchitecting the infrastructure. Role Overview: As Chief Growth … company’s go-to-market strategy, accelerating customer acquisition, and building the growth engine that will defi ne our trajectory. You will work closely with the CEO, product, and engineering teams to position our platform as the essential layer for modern data infrastructure. You will work closely with cloud data platform companies such as Snowflake, Databricks, BigQuery More ❯