5 of 5 Data Pipeline Jobs in West London

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 More ❯

Help Shape the Future of Football Through Data The Football Association (The FA) is investing in advanced digital and data capabilities to transform how we engage with the game, from grassroots and development of home-grown coaches to fan experience and business operations. As part of this transformation, we're expanding our team with ambitious, forward … thinking professionals. We're excited to offer a newly created opportunity for a Data Scientist to play a key role in delivering impactful, data-driven solutions across the organisation. As a Data Scientist at The FA, you'll be central to our data transformation, working across areas such as grassroots initiatives, coaching … pathways, fan engagement, and operations. From day one, you'll lead the development and deployment of data science solutions. You will collaborate with cross-functional teams to build scalable systems, maintain robust data pipelines, and integrate machine learning models into real-world applications that make a measurable impact. Key Responsibilities: Apply machine learning and predictive modelling More ❯

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 click apply for full job details More ❯

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 More ❯

growth in a world-class technology environment Key Responsibilities Define and implement AI/ML security strategies, policies, and architectures. Design secure AI/ML models, systems, and data pipelines. Conduct AI risk assessments and develop mitigation strategies. Ensure data security, privacy, and compliance with GDPR, ISO 27001, and the EU AI Act. Lead AI/ More ❯