7 of 7 Permanent Data Engineering Jobs in West London

About the role We are looking for an experienced Data Product Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound … and aligned with business goals. The ideal candidate is both technically hands-on and strategically minded, capable of translating complex data requirements into scalable product architectures and enabling the delivery of data products that are robust, reusable, and value-driven. Location: Uxbridge, UK. Main Responsibilities Solution Architecture & Design Design end-to-end architecture for data products, including … ingestion, transformation, storage, access, and visualization layers. Define architectural standards, patterns, and principles for data product development. Ensure solutions are scalable, modular, reusable, and aligned with enterprise architecture and data strategy. Lead the selection and integration of appropriate technologies and platforms (e.g., data lakes, warehouses, real-time processing, APIs, semantic layers). Data Product Development Collaborate More ❯

About the role We are looking for an experienced Data Product Solution Architect to drive the architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound … and aligned with business goals. The ideal candidate is both technically hands-on and strategically minded, capable of translating complex data requirements into scalable product architectures and enabling the delivery of data products that are robust, reusable, and value-driven. Location: Uxbridge, UK. Main Responsibilities Solution Architecture & Design Design end-to-end architecture for data products, including … ingestion, transformation, storage, access, and visualization layers. Define architectural standards, patterns, and principles for data product development. Ensure solutions are scalable, modular, reusable, and aligned with enterprise architecture and data strategy. Lead the selection and integration of appropriate technologies and platforms (e.g., data lakes, warehouses, real-time processing, APIs, semantic layers). Data Product Development Collaborate More ❯

Head of Business Data Location: London Salary: £120k -£140k+ bonus + benefits An exciting opportunity has arisen for a Head of Business Data to lead the commercial data strategy for a high-profile organisation. This role will oversee a multidisciplinary data team, managing the full fan data lifecycle from third-party acquisition to activation across … digital and physical environments. Must have a consumer/customer data background with all round experience across engineering, BI and analytics. Preferably worked within B2C/customer-centric data. Youll lead the development of a centralised data platform (GCP) or experience with AWS, Azure enhance the Customer Data Platform (Twilio Segment), and drive insight-led decision … across the business. You'll also play a key role in embedding predictive models like CLV and propensity scoring into core systems and processes. Were seeking a hands-on data leader with strong experience in cloud architecture, Data engineering, data governance, BI tooling (Power BI, Omni), and stakeholder engagement at a senior level, must be hands More ❯

Analytics Engineer London (onsite) | Full-Time, Permanent We're on an exciting data transformation journey and are looking for a skilled Analytics Engineer to join our growing data team. In this role, you'll help design and implement scalable, high-performance data infrastructure using the modern data stack, including Azure Databricks , Azure Data Factory , dbt … SQL , Python , and Power BI . You'll act as the bridge between data engineering and analytics-building robust data models, automated pipelines, and self-service tools that drive decision-making across the business. This is a hands-on technical role with real impact. You'll collaborate with engineers, analysts, and stakeholders to deliver clean, trusted, and … accessible data. Key Responsibilities: Develop and maintain data pipelines using Databricks and ADF Create dimensional models and transformation workflows using dbt Implement automated data quality checks and monitoring systems Empower business users through self-service analytics using Power BI Document technical processes and uphold coding standards Collaborate with cross-functional teams to gather and deliver on data More ❯

Senior Software Engineer - Backend & Data | Fully Remote (UK) Founding Engineer | Python | GCP | Terraform | Event-Based Systems | Data Pipelines An innovative, mission-driven LegalTech SaaS start-up is looking for a Senior Product Engineer (Backend & Data) with deep experience in Python, Product development, and Data engineering. Role Information: Salary : Up to £100,000 (DOE) + Equity Location … only) Stack : Python , TypeScript, GCP, Pub/Sub, SQL & NoSQL, IaC (Terraform), CI/CD (GitHub Actions), Observability tools, AI tooling You’ll join a remote first, high-trust engineering team working with a modern, cloud-native stack - with real influence over technical decisions from day one. You’ll take technical ownership of the backend to ensure it’s … robust, scalable, and ready for real customers, while adding new Data-driven features, optimising performance, and shaping the long-term Product roadmap. While your focus will be backend systems in Python, you’ll also work across the stack, collaborate directly with users, and bring a strong Product mindset to every decision. This role is ideal for someone who thrives More ❯

solo. This is a highly autonomous role, perfect for someone who thrives on building, managing, and continuously improving the systems that keep a fast-moving business running smoothly. From data pipelines to automation workflows, you will ensure every technical aspect of the business operates efficiently and strategically. Responsibilities: Own all technology systems and processes across the business. Design, build … and maintain data pipelines integrating POS, kitchen operations, labor, and inventory systems. Develop and manage dashboards and reporting tools for leadership and operations. Build and maintain low/no-code automation workflows to streamline operations. Manage API integrations between platforms. Identify, recommend, and implement new tech solutions that drive efficiency and growth. Ensure data accuracy, availability, security, and … compliance. Partner with leadership to shape the company's tech and data strategy. Experience: Proven experience in data engineering, analytics, and reporting (SQL, Google BigQuery, Power BI, Looker, Tableau). Strong capability with API integrations and low/no-code tools (n8n, Zapier, Airtable, Make). Broad technical problem-solving skills, able to implement the right tool More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯