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Top Data Engineer Jobs in London
The Lead Data Engineer will develop and maintain data pipelines, enabling near real-time and batch data processing. Responsibilities include ensuring software reliability, improving the codebase, participating in agile ceremonies, collaborating on technical vision, and operationalizing systems with observability practices.
As a Principal Data Engineer, you will lead projects transforming financial services through data solutions, enhancing both cloud and on-premise deployments, and managing engineering teams. You will architect services using design patterns, optimize data engineering processes, and foster a security-first mindset. This role also involves contributions to critical applications and communicates complex ideas effectively to clients and stakeholders.
As a Senior Data Engineer at Capco, you will design and develop robust data pipelines while adhering to best engineering practices, supporting financial services clients. You will work on data transformation projects, utilizing both cloud and on-premise solutions, and automate data engineering processes across various technologies.
The Data Engineer will design and deliver technology solutions, execute software solutions, maintain high-quality production code, and analyze and visualize data from large datasets to improve software applications and system performance. The role emphasizes collaboration within an agile team environment and contributions to diverse technical communities.
As a Data Engineer II at DailyPay, you will build and maintain ETL processes and data pipelines, support data reporting and analytics, optimize database performance, and assist in code review processes while contributing to the overall data infrastructure.
As a Data Engineer at Cencora, you'll design and maintain data pipelines, ensuring data flows into Microsoft Azure and MS SQL databases. Collaborate with analysts to enhance data quality and automate processes, using services like Databricks, LogicApps, and Data Factory, while also developing ETL scripts with SQL and Python.
As a Senior Data Engineer at Capco, you will design and develop robust data pipelines, collaborate with clients to interpret requirements, and adhere to best engineering practices. You will work on data transformation projects for leading banks, optimizing data engineering processes, and broadening your skills through exposure to diverse technologies.
As a Lead Data Science Engineer, you'll research and implement data science applications in Python, create machine learning models, optimize MLOps pipelines, and collaborate with teams to ensure accurate deployment within a sportsbook environment. You will coach junior data scientists and develop analytics tools to enhance business success.
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As a Senior Data Science Engineer, you will develop and integrate statistical and machine learning models into applications, enhance sports models, write production code, and collaborate across teams. You'll also train junior team members and ensure model accuracy through automated testing.
As a Senior Data Science Engineer, you will lead data science projects, develop statistical models and machine learning algorithms, collaborate on integrating solutions, mentor junior staff, and communicate insights to enhance product offerings and operations.
As a Data Engineer at Veeva, you will enhance data quality and harmonize data operations globally. Responsibilities include building data tools, collaborating with teams to deliver solutions, and developing automated validation frameworks.
As a Data Engineer at Veeva Systems, you will focus on improving Veeva Link’s data platform, managing data pipelines, collaborating with data science to operate ML models, and applying SOLID principles for software development.
As a Data Engineer at Wheely, you will enhance the Data team by implementing best practices for architecture, optimizing the codebase with dbt and LookML, and evolving data integration pipelines using Airbyte and Debezium. You will also ensure data quality and collaborate on feature requests, focusing on improving performance and code quality in a team-oriented environment.
The L/S Equities Data Engineer will collaborate with the investment team to connect fundamental research with technology, developing AI applications, quantitative insights, and tools to support investment strategies while utilizing various technologies and programming languages.
The Data Engineer will design, implement, and maintain data solutions to enhance operational effectiveness. Responsibilities include developing data pipelines, managing database architectures, automating data processes, generating performance reports, and ensuring data quality. Collaboration with various teams is also key to align data solutions with business objectives.
The Data Engineer will provide technical support for data center operations, oversee projects, manage hardware and asset records, and ensure compliance with procedures. Responsibilities include troubleshooting, coordinating installations, managing data center inventory, and maintaining operational documentation.
As a Data Engineer at the FCA, you will manage significant market datasets, develop and maintain data processing ecosystems, conduct systematic investigations for market abuse, and collaborate with analysts to enhance market surveillance using data engineering and science techniques.
As a Data Engineer at Ascent, you will design and create data pipelines that transform and optimize data for analytics and other uses. You will collaborate with stakeholders, manage data lineage and metadata, and work with Azure data services in a team-focused, Agile environment.
You will be responsible for maintaining and setting up automated data ingestion pipelines, simplifying existing data pipelines, designing a cloud-native data warehouse, and collaborating with data scientists for ML model deployment. Key tasks include data storage, data manipulation, and cloud infrastructure management.
The Data Engineer will oversee critical projects, driving innovation and ensuring high data quality. Responsibilities include developing robust data architecture, managing data stacks, mentoring junior engineers, collaborating with teams, implementing data governance practices, and improving data infrastructure efficiency.
As a Senior Data Engineer at Walmart, you will develop scalable solutions for extracting, transforming, and loading big data, ensuring data quality and governance, and collaborating with engineering teams globally to optimize data workflows.
As a Senior Data Engineer at Aircall, you will design, develop, and maintain data infrastructure, build reliable data pipelines, enhance data quality and compliance, mentor junior team members, and collaborate with cross-functional teams to improve operational efficiency and support complex data challenges.
As a Data Engineer at Epic Games, you'll design, build, and maintain data infrastructure for machine learning, manage AWS infrastructure, and optimize data pipelines for efficiency and reliability while collaborating with product teams.
The Graph Data Engineer will design, develop, and optimize graph database models primarily using Neo4j, ensuring integration from diverse sources, performance tuning, and regulatory compliance. They will collaborate with various teams, provide technical guidance, and stay updated on graph database technologies.
The Data Engineer will design and develop scalable data pipelines on GCP, ensuring high data quality and reliability. Responsibilities include collaborating with internal teams to meet business data requirements, implementing data transformation logic, troubleshooting pipeline issues, and delivering training on data engineering principles.
Top London Companies Hiring Data Engineers
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