Top Data Jobs in London

Design, build and optimize scalable AWS-based data pipelines and ETL processes (batch and near-real-time) using Python, SQL, Airflow, Glue and Redshift. Improve performance, reliability and cost efficiency, implement monitoring/alerting, support governance, security and compliance, collaborate with architecture and analytics teams, and mentor colleagues.

The role involves guiding the Data Science team to develop search and recommendation systems, working with commercial teams to deliver user-focused products, and managing multiple projects related to data science implementation.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

Hunt and close new business across UK private sector for cloud, platform engineering, Data & AI, managed services, and AI enablement. Own full sales cycle from prospecting to close, engage senior technical stakeholders, develop proposals, position Wayfinder, and work with delivery, engineering, marketing and partner teams to shape opportunities and pipeline.

Lead the data squad to manage product flows between Reflexivity and partners, ensuring the integration of data products and refining data ingestion processes.

Lead Relation's Data Platform team by designing a unified data strategy, optimizing data workflows, and ensuring data governance, while developing a high-performing engineering team.

The Principal Mechanical Engineer will oversee mechanical systems design for data centers, providing technical leadership, managing product development, and ensuring project quality while engaging with stakeholders.

The Senior Solutions Engineer will support technical solutions, engage in RFP processes, design proposals, and engineer cost-effective solutions for customers' IT environments.

The Senior Data Engineer will design and build an internal data platform, integrate data from multiple systems, and enable non-technical users to access and use data effectively, championing best practices in data engineering.

Lead the roadmap and delivery of Ohme's data and AI products: prioritize features, define requirements and success metrics, work hands-on with ML/data engineers to ship and iterate, liaise with commercial and ops teams, and drive adoption and measurable business outcomes.

As a Senior Data Architect, you'll design and implement data solutions on AWS, guiding startups in creating scalable architectures and leading technical engagements.

The Data Integration Director will lead digital marketing feed strategies, facilitate client relationships, optimize product data across platforms, and drive innovation while mentoring teams.

The Data Engineer role involves modeling data as an Analytics Engineer, improving data infrastructure, managing data ingestion, and delivering training.

As a Data Engineer, you'll develop and maintain data pipelines, integrate complex datasets, and ensure data quality for quantitative trading strategies.

The Data Analyst will ensure high-quality financial datasets by defining acceptance criteria, probing data quality, and collaborating with various teams. They will act as a subject-matter expert on data products and maintain a catalogue of datasets.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

As a Senior Data Scientist, you will lead the development of algorithms for payment solutions, working with cross-functional teams to enhance fraud prevention and payment success, utilizing advanced machine learning techniques.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

Consulting role focused on Workday Financials data migration, transformation, validation, and optimisation. Lead tenant-to-tenant migrations, design conversion templates, develop ETL and reconciliation tools, validate loaded financial data, and collaborate with clients and project teams throughout implementation.

The Principal Data Engineer will design and build AI features, manage data pipelines, and collaborate with data scientists to enhance machine learning models and their implementations.

As a Data Scientist on the Growth Team, you will develop predictive models, analyze complex datasets, and collaborate with stakeholders to enhance customer acquisition and retention at Capital on Tap.

The Senior Software Engineer will lead the Core Data team to improve APIs, systems, and data pipelines, focusing on backend engineering and team mentoring.

The Senior Data Product Manager will lead data and insights product development, managing a team to enhance decision-making across commercial, credit, finance, and operations while fostering AI capabilities.

Lead design, build, and operation of Rightmove's GCP-based data platform. Own ingestion, processing, storage, and tooling; develop reusable batch and real-time pipelines, infrastructure as code with Terraform, CI/CD, and promote engineering best practices across teams.