Top Data Jobs in London

The Data Engineer will architect the foundational data layer, build scalable data models in Snowflake, and implement ETL/ELT pipelines. Responsibilities include integrating APIs and developing predictive tools to support AI initiatives.

As a Data Engineer, you will create scalable ETL pipelines, optimize PostgreSQL systems, and ensure data accuracy for hospitality platforms.

The Data Infrastructure Engineer will own the data lifecycle, architect high-reliability pipelines, and enhance infrastructure for AI agents.

As a Program Manager, you will lead data and analytics projects, manage technical development, ensure successful execution, and drive customer engagement.

As a Senior Data Engineer, you will create and maintain data pipelines, optimize data delivery, and build analytics models to provide insights, while working closely with various teams to enhance private market data intelligence.

The role involves overseeing data operations and reporting, designing scalable solutions, and setting best practices for data-driven marketing insights.

The Business Development Executive is responsible for identifying, engaging, and securing new clients in the financial services sector, focusing on trade surveillance solutions.

The Trainee Analyst supports operational and regulatory activities, including onboarding new programs, managing data, and ensuring compliance throughout program lifecycles.

As the founding data scientist, you will develop growth analytics, design A/B tests, build data pipelines, and partner with various teams to drive business growth.

The role involves creating and maintaining SAP master data, ensuring data accuracy, resolving issues, and improving data management processes for efficient operations.

The Product Manager for Data will lead the rollout of data products for clients, overseeing requirements, development support, adoption, and communication while contributing to a global data model.

This internship involves developing analytical solutions, managing data for risk topics, and supporting AI initiatives while enhancing skills in data analytics and risk management.

As a Data Governance Specialist, you will enhance data governance processes, coach Data Owners, communicate with stakeholders, and support regulatory compliance in a complex environment.

As Lead Data Scientist, you'll lead a data science team, drive analytics solutions using AI, mentor junior talent, and coordinate cross-chapter efforts.

The Data Architect will lead the design and management of data architecture, ensuring data security, quality, and accessibility. This role involves acting as an advisor, overseeing data lifecycle management, and driving best practices across projects while influencing data strategy in collaboration with stakeholders.

As a Data Analyst, you will ensure data integrity, improve data pipelines, communicate with stakeholders, and lead root cause analyses while maintaining quality across reference data products.

As a Data and MI Manager, you'll lead the Snowflake data platform, ensuring data accessibility and quality to drive operational performance and decision-making.

Lead the development of machine learning models to predict delivery risks, integrate insights into dashboards, and collaborate with stakeholders for data-driven decision making.

The role involves managing geospatial datasets, ensuring data quality, building geospatial ETL workflows, collaborating with teams for data integration, and contributing to geospatial modernization initiatives.

The Tech Transformation Programme Manager will lead and deliver technology initiatives and oversee transformation outcomes supporting long-term organizational goals.

As a Clinical Governance Data Analyst, you'll ensure the integrity of clinical governance data, support oversight, reporting, and use Power BI for visualization and insights.

Support implementation and maintenance of a data governance framework: capture data lineage and dictionaries, partner with business and IT, run steward forums and training, track KPIs/risks, maintain metadata repository, and produce governance communications and materials to ensure data quality and compliance.

The role involves building and optimizing data pipelines, contributing to API development, ensuring data quality, and collaborating with product managers.

Lead analytics as the company's first data hire: design and build the data warehouse and analytics stack, create core dashboards, uncover insights on AI search behavior, build predictive customer and growth models, and enable self-serve analytics while ensuring data quality and governance.

Lead mechanical delivery for hyperscale and co-location data centre projects across EMEA. Drive client relationships and business development, manage project financials, mentor teams, ensure mechanical design and engineering best practices for mission-critical environments, and support growth of AECOM’s data centre capability.