Top Data Jobs in London
As a Senior Data Engineer, you will build large-scale speech and audio data pipelines, work on machine learning projects for generative AI, contribute to best practices in data pipeline construction, and deliver high-quality code while collaborating with various stakeholders.
Join our cutting-edge Tech Team as a Data Infrastructure Manager responsible for leading the design and implementation of high-performance systems essential for financial risk detection. Manage a team of Data Infrastructure Engineers in providing and supporting data services organization-wide, with expertise in SQL, NoSQL, Kafka, and Spark technologies.
Data Engineer role at Octaive involving designing, architecting, implementing, and supporting data systems, analytics dashboards, and data retrieval tools. Analyzing and enhancing data quality, working with stakeholders to develop insights, and devising data governance strategies.
As the Key Account Data and Projects Manager, you will improve store performance through data analysis, manage store engagement activities, build relationships with partner account managers, and oversee a team for process improvement. You will also enhance customer experiences and advocate for food waste reduction.
The Data Engineer/Senior Data Engineer at Inizio will support the building of AI capabilities, develop scalable data pipelines, design data architecture, maintain CI/CD infrastructure, and ensure data quality. The role requires collaboration with data scientists and other stakeholders, while also monitoring data system performance and integrating engineering platforms.
The Revenue Operations Manager will drive revenue growth by analyzing sales data, identifying trends, and providing actionable insights for the EMEA Enterprise sales strategy. Responsibilities include leading forecast calls, collaborating with various departments, and implementing creative solutions to business challenges.
The Marketing Data Analyst will optimize digital marketing strategies and enhance e-commerce performance. Responsibilities include monitoring website analytics, analyzing marketing data, managing tagging protocols, defining KPIs, and collaborating on data-driven strategies to improve customer acquisition and engagement.
As a Market Insights Data Analyst, you will collaborate with the Market Insights team to perform custom data analysis, create data queries, prepare reports, and communicate findings to internal stakeholders, all aimed at supporting marketing efforts and enhancing customer acquisition.
The Senior Data Engineer will build production-quality models and write microservices for large-scale data wrangling, utilizing DBT and Python. Candidates will work with AWS and collaborate on data pipelines, mentoring junior members while participating in a dynamic team environment.
As a Data Scientist, you will analyze large datasets to develop power market models, ensuring product alignment with user needs. Utilize Python and tools like Numpy and Pandas to produce trustworthy revenue projections and insights for battery energy storage systems.
As a Lead Data Engineer at Aker Systems, you will develop, test, and document data pipelines, refine database designs, and enhance data platform capabilities. Your role involves data analysis, ensuring data models align with architecture, and performing root cause analysis for data issues to identify improvement opportunities.
As a Principal Data Engineer at Aker Systems, you will develop a secure data platform for a government client, involving data pipeline coding, logical and physical database design, and ensuring data models align with architecture. You will also conduct data analysis and identify enhancements for data processing challenges.
The Data Scientist at Coinbase will analyze products to provide strategic recommendations, guide experiments to measure impact, and maintain key metrics and reports while improving data infrastructure.
The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.
The Data Protection Executive will support the business in meeting its data protection obligations, collaborate with key teams in Compliance and Legal, and maintain data protection standards. They will educate stakeholders about their responsibilities and navigate an evolving regulatory landscape while simplifying technical concepts for non-specialists.
Lead a team of data professionals to oversee data and analytics projects with a focus on pharmaceutical manufacturing data. Develop and implement data strategies, provide technical expertise for data compliance, and ensure effective data pipelines and analytics frameworks.
Develop and maintain web scraping tools to create datasets for research and trading, while integrating datasets from various sources and supporting users like Quants and Traders in managing extensive datasets and monitoring data health.
Lead Data Engineer role at a health technology platform creating new data and clinical insight services. Responsible for architecting data flows, developing analyses using medical NLP, and implementing reports and dashboards. Work with Google Cloud Platform, PHP, Python, Typescript, MySQL, and BigQuery. Remote working options available.
The Customer Data Analyst will gather, integrate, model, and analyze customer data from various sources. Responsibilities include data collection, modeling, reporting, campaign analysis, customer segmentation, tracking KPIs, collaboration across teams, ensuring data quality and governance, and creating visualizations for stakeholder communication.
Lead Data Architect role at Aker Systems focusing on designing and implementing secure, scalable, and resilient data architectures on AWS and other cloud platforms. Responsibilities include engaging with stakeholders, providing strategic guidance, mentoring a team of data professionals, and ensuring compliance with industry standards and regulations.
As a Data Scientist with Compliance expertise, you will analyze unstructured data to identify compliance risks, generate insights, and assist with data annotation. You will also engage in exploratory data analysis and participate in stakeholder interactions to refine data models and compliance strategies.
As a Data Engineer at Veeva, you will build data tools, enhance data quality, collaborate on data solutions, and develop a data validation framework. You will be essential in harmonizing global data operations to support the success of the OpenData initiative.
As a data engineer at Veeva Systems, you will improve data pipelines on the Veeva Link platform, focusing on innovation and enhancements. Responsibilities include working with JVM-based languages or Python, collaborating with data science teams on machine learning models, and maintaining software principles for quality in data processing.
The Data Annotation Specialist for Hebrew will engage in tasks like data tagging, validation, classification, and image identification while ensuring data accuracy and consistency. This entry-level role includes learning support to gain experience in the AI industry.
As a Senior Data Engineer, you will develop and maintain ETL pipelines, ensure the health of data warehouses, and provide access to data through Flask services and Postgres databases while assisting teams with automated reporting and data exploration for business insights.
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