Top Data Jobs in London

As a Senior Data Scientist at Checkout.com, you will develop a growth forecasting engine while collaborating with Strategic Finance and Revenue Operations teams. You'll enhance data quality, provide insights for business strategy, and lead analytics best practices.

The Staff Data Architect will drive improvements in scalable data products and foster best practices in data governance and modelling. This role involves designing data architecture, advising stakeholders on data strategies, and encouraging teams to adopt and self-service data solutions to enhance business performance.

As a Staff Data Scientist at Checkout.com, you will lead the design, development, and deployment of LLM-based solutions, collaborating with product managers and engineers to enhance product features and optimize business processes using advanced NLP technologies.

Join Houseful as an Associate Data Engineer to build and maintain ETL/ELT pipelines, support data quality improvements, collaborate with cross-functional teams, monitor data pipelines, and follow best practices for data engineering.

As a Data Architect at Amach, you will design and implement cloud data solutions, focusing on scalability, data security, and advanced analytics. You'll provide technical leadership, collaborate with clients and teams to align data strategies with business objectives, and ensure the integrity of data assets through documentation and innovative infrastructure designs.

The Data Tech Lead will advise on AWS database technologies while exploring relational data and translating business requirements into code. Responsibilities include writing complex SQL queries and collaborating on database and data lake solutions in AWS.

As a Senior Data Engineer at Amach, you will design, build, and maintain data infrastructure, develop effective ETL processes, collaborate with teams to gather data requirements, and ensure data platform reliability and performance. You'll also support and guide junior members, optimizing existing systems for scalability and performance.

The Commercial Manager - Data and Analytics will lead a team focusing on data management, reporting, and analytics within various construction projects. Key responsibilities include developing data systems, analyzing data for insights, coaching team members, and collaborating with cross-functional teams to optimize business spending.

The Principal Data Consultant will design and deliver enterprise-level data solutions, utilizing Azure tools and SQL analytics to create and implement big data environments, assisting businesses in gaining insights from their datasets.

The Senior Data Consultant will focus on delivering enterprise-level applications in Business Intelligence and Data Analytics, primarily using Microsoft Azure and SQL technologies. Responsibilities include project management, client communication, team support, and contributing to the community. Experience with data analytics solutions and the ability to mentor others are essential.

The Data Consultant role involves delivering enterprise-level applications in Business Intelligence and Data Analytics, focusing on Microsoft Azure and SQL technologies. Responsibilities include working on client projects, ensuring customer satisfaction, and contributing to internal communities. Strong communication and interpersonal skills are essential, along with a willingness to learn and share knowledge.

The Market Data Analyst will support market data services including contract management, vendor relationships, regulatory requirements, and project support. Responsibilities include maintaining data accuracy, processing invoices, and preparing audits while ensuring efficient operations within the Market Data team.

As a Quantitative Developer/Analyst in the Data Search & Analytics team, you will source and onboard new datasets, solve data-related problems, and manage the lifecycle of data sourcing projects. You will work closely with trading desks to enhance productivity using your programming skills, particularly in Python.

Manage extensive datasets, design and implement data store, monitor data health, integrate datasets, support users.

The Data Engineer will design, build, and maintain scalable data pipelines to support the organization's data processing needs. Collaboration with data scientists and engineers is essential to optimize data flow and collection, as well as troubleshoot performance in big data environments.

As a Senior Marketing Data Analyst at Jellyfish, you will analyze campaign data to identify trends and provide actionable insights for performance improvement. You will collaborate with clients to design solutions, transform data into cohesive datasets, and create informative dashboards. Your role also involves technical reporting and validating data accuracy to ensure alignment with client requirements.

As a SQL Marketing Data Analyst, you will analyze campaign data to identify trends and provide insights for performance improvement. Your role includes meeting clients to understand their marketing goals, transforming data from various sources into cohesive datasets, and creating informative dashboards. You'll also assess paid media campaign efficiency and present findings to clients.