Top Data Engineer Jobs in London

As a Data Engineer at Engine by Starling, you will be responsible for modeling, extracting, joining, formatting, and securely sharing data with client banks. You will work on improving reporting tooling and data features to provide better insights to clients. Additionally, you will assist in enhancing data lineage, quality, and documentation accuracy.

The Data Engineer I role at GSK's Onyx Research Data Tech organization involves building modular code using modern data engineering tools, ensuring consistent application of platform abstractions, adhering to QMS framework, and providing support to existing tools and services.

Develop high performance and scalable solutions that extract, transform, and load big data. Design, build, test, and deploy cutting-edge solutions at scale impacting millions of customers worldwide. Provide guidance and mentorship to junior data engineers and ensure data quality and governance standards are met.

Join Hudson River Trading as a Data Production Engineer to work with live trading teams, support automated trading systems, classify and reconcile data, analyze data sets, and provide technical support in a production trading environment.

Seeking a Data Engineer to work on data architecture projects, transition data sets to new technology stack, analyze data using machine learning, manage data ingestion process, and collaborate with investing teams globally. Must have 5+ years of experience in SQL programming, data architecture, and dimension modeling.

As a Data Engineer at Edenred, design, develop, and maintain data pipelines and infrastructure on the AWS platform. Collaborate with business analysts, troubleshoot production issues, and continuously improve the data platform. Requires expertise in Python, SQL, AWS services, and data management within a datalake.

Senior Data Engineer role at N-iX, a software development service company specializing in developing successful software products. Responsibilities include creating production quality models, writing production level microservices, data wrangling, and implementing various technologies such as Python, AWS, and more. Strong communication, organizational skills, and mentoring experience are required. Offers competitive salary, personalized career growth, flexible working format, and professional development opportunities.

Seeking a talented Data Engineer to develop and maintain the data architecture of a fintech platform. Responsibilities include data integration, data modelling, and optimizing data pipelines. Requires strong problem-solving skills and collaboration with cross-functional teams.

Design, build, and manage data pipelines using Apache Spark and Scala. Utilize Google Cloud Platform for large-scale data processing systems. Analyze complex data sets and implement internal process improvements. Provide technical leadership and coaching to junior team members.

Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.

Lead Data Engineer role at Superside, responsible for maintaining data pipelines, enhancing data operations, providing technical guidance, and staying up-to-date with data technology trends.

As a Senior Data Engineer at Kainos, you will design and develop data processing and data persistence software components for solutions handling data at scale. You will provide strong development leadership, work in agile teams, and collaborate with colleagues to ensure code quality and maintainability. Responsibilities also include advising customers, coaching team members, and contributing to continuous improvement.

The Sr. Data Engineer at Pismo will be responsible for operating and monitoring file and event systems, ensuring SLAs are met, designing high complexity features, reducing technical debts, and evolving data platform architecture. They will collaborate with internal and external teams to optimize the data platform's efficiency and performance. Minimum qualifications include solid experience with Big Data, AWS, Python, Airflow, CDC, and at least 4 years as a Data Engineer. Pismo offers competitive benefits including annual incentive bonus, core benefits, smart benefits, and 28 days of annual leave.

As an AI/ML Data Engineer, responsible for research, building and automating predictive models, translating business requirements to technical requirements, and working with a global team of data engineers and analysts. Strong knowledge in Python, R, Microsoft Azure, machine learning, and BI technologies.

Lead the development of data elements for cloud-native SaaS products in the PLM domain. Design and deliver cloud-native data solutions, collaborate with cross-functional teams, mentor data engineers, and drive DevOps practices. Stay updated with industry trends and advancements in cloud computing technologies.

Design, develop, and maintain scalable data pipelines using Scala, DBT, and SQL. Implement and optimize distributed data processing solutions using MPP databases and technologies. Build and deploy machine learning models using distributed processing frameworks such as Spark, Glue, and Iceberg. Collaborate with data scientists and analysts to operationalize ML models and integrate them into production systems. Ensure data quality, reliability, and integrity throughout the data lifecycle. Continuously optimize and improve data processing and ML workflows for performance and scalability.

As a Lead Data Engineer (Consultant) at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions that handle data at scale. You will provide strong development leadership for team members, ensure code quality, and meet user needs. Responsibilities include development, design, testing, coaching, and technical advisement.