Top Data Engineer Jobs in London

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

The Data Engineer will be responsible for building and maintaining critical data infrastructure, developing scalable data pipelines, engaging with stakeholders, and enhancing DataOps to ensure quality and speed in data delivery.

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

The Data Engineer will design, develop, and maintain scalable data pipelines, implement and optimize distributed data processing solutions, and collaborate with data scientists to operationalize ML models while ensuring data quality and reliability.

The Data Engineer will support the design and construction of data pipelines for processing and quality control of health data from various sources. Responsibilities include developing data transformation logic, collaborating with researchers, and ensuring adherence to best practices in data engineering.

As a Data Engineer, you'll develop and maintain data pipelines for genomic data, ensuring high-quality data transformation and curation. You will collaborate with scientists and researchers to meet their data requirements while adhering to best practices in agile software development.

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.

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.

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.

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.

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.

The Data Engineer will analyze and manage data to support trading, focusing on understanding, cleaning, and sharing datasets. Responsibilities include automating ETL processes, checking for anomalies, and collaborating with traders and software engineers to generate insights.

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and architecture, ensuring data integrity and collaborating with teams to support business initiatives. Responsibilities include implementing ELT processes, conducting exploratory data analysis, and driving continuous improvement in data operations while staying updated on industry trends.

As a Senior Data Engineer, you'll work with clients to build and maintain data applications and systems, using modern tools and a DataOps culture. You will engage in deploying data pipelines and participate in various agile projects within multi-disciplinary teams, focusing on cloud data services and effective code practices.

As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.