Top Data Engineer Jobs in London

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.

Senior Data Engineer responsible for designing, building, and maintaining data pipelines on Google Cloud Platform (GCP). Must have deep understanding of GCP services, experience with data modeling and optimization, strong analytical skills, and proficiency in Java, Python.

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 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.

As a Senior Data Engineer at Capco, you will design and develop data pipelines for top financial clients, ensuring best practices in engineering. You will work with cloud solutions, build event-driven applications, and engage in digital transformation across data technologies.

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.

As a Data Engineer, you will collaborate with the investment team to connect fundamental research with data analysis and software solutions. Your role includes developing AI and machine learning applications, creating tools for quantitative efforts, and processing Compliance-approved data in both on-premises and AWS environments using technologies like Kafka, Spark, and SQL.

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 Data Engineer will design and maintain scalable data solutions, focusing on data pipeline development, database management, and automation using Python. They will collaborate across teams to ensure data integrity and support business operations with advanced reporting and data governance initiatives.

Lead a team of NLP data engineers to deliver data and knowledge products that advance GSK R&D, architect data delivery and operational strategy, partner with AIML and knowledge graph platform team to build NLP pipelines, collaborate with other data engineering leads on new data flows and engagement models, apply graph-based data modeling techniques.

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.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

As a Senior Principal Data Engineer, you will design and deliver data services and pipelines while collaborating with cross-functional teams. You'll provide leadership to junior engineers and ensure compliance with data governance best practices, all while utilizing tools like Python, Spark, and Azure.

This role involves providing technical support for data center operations, overseeing service delivery, coordinating projects, managing asset inventory, and ensuring compliance with standards. Responsibilities include troubleshooting, capacity management, and maintaining documentation for facility operations.

As a Data Engineer at Methods Analytics, you'll develop and implement data solutions using platforms like Azure and PowerBI while ensuring data quality and integrity. You'll collaborate with cross-functional teams, design ETL/ELT pipelines, and create data models to support strategic decisions.