Top Data Engineer Jobs in London
Lead Data Engineer role at a health technology platform creating new data and clinical insight services. Responsible for architecting data flows, developing analyses using medical NLP, and implementing reports and dashboards. Work with Google Cloud Platform, PHP, Python, Typescript, MySQL, and BigQuery. Remote working options available.
A Senior Analytics Engineer role at Trustpilot involving maintaining the data warehouse, supporting data consumers, designing and monitoring data pipelines, and advocating for data as a product.
As a Senior Data Engineer at BJSS, you will be responsible for building scalable and re-usable data solutions using software engineering best practices. You will work on deploying data pipelines and processes in a production-safe manner, utilizing a variety of technologies and tools in the cloud. The role involves collaborating with multi-disciplinary teams to deliver modern data platforms for large organizations.
Seeking an experienced Data Engineer with 3+ years of experience to build and maintain data pipelines for alternative commodity and macro data, collaborate with traders and researchers, develop scalable data architectures, ensure data accuracy and reliability, and optimize workflows.
Design and develop data solutions for Markel International, part of the Data Services team. Responsible for assessing stakeholder needs, contributing to solution designs, and developing solutions to achieve business outcomes in an agile environment. Key focus on Azure Data offerings such as Databricks, Delta Tables, Azure Data Factory, and Azure Data Lake.
Design and implement data pipelines, develop data models, write ETL jobs, collaborate with stakeholders, and monitor data pipelines for a B2B sales platform.
The Senior Data Science Engineer at DraftKings will be responsible for creating statistical and machine learning models, enhancing American Football models, writing production quality code, utilizing MLOps platform, and collaborating with cross-functional teams to develop and deploy projects. The role also involves coaching and supporting junior data scientists.
Exciting opportunity for a Principal Data Engineer at Ogury to shape the future of their data platform, enable data-driven decisions, and maintain high data quality standards. The role involves defining the long-term vision, building and leading the data platform, implementing data solutions, mentoring team members, and promoting data engineering best practices.
Lead Data Science Engineer role at a sports and entertainment technology company involved in developing cutting-edge products and shaping the future of responsible gaming. Responsibilities include implementing DS applications, creating statistical and machine learning models, data engineering, writing production quality code, collaborating with various teams, and coaching junior data scientists. Requires expertise in Python, database technologies, ML automation, AWS, DevOps principles, and Kubernetes. Strong communication and organizational skills are essential.
Seeking a Senior Data Engineer to co-lead the Product Development team, with responsibilities including managing technical builds, approaches, and priorities. Must have experience in data engineering, media environments, and programming languages such as Python and SQL. Knowledge of ETL, serverless, and cloud computing is required.
As a Senior Data Engineer at Fospha, you will play a key role in designing, developing, and maintaining scalable data pipelines and architectures to support business initiatives. You will ensure data integrity, optimize data storage, and provide insights for strategic decision-making. Additionally, you will drive continuous improvement in data processes and promote a culture of data excellence.
Checkout.com is seeking a Senior Data Platform Engineer to join their Data Platform Team. The team's focus is on building a world-class data platform to power products and analytics, maximizing time for business problem-solving. Key responsibilities include building enablement components, developing documentation, automating workflows, staying updated on data engineering technologies, mentoring junior members, and fostering platform adoption.
Lead and mentor junior data engineers, architect and build data pipelines, collaborate with cross-functional teams, identify performance bottlenecks, maintain documentation, champion data engineering best practices
Lead and drive the execution of multiple business plans and projects related to data engineering. Implement new architectural patterns and promote high standards of code quality and system reliability. Must have strong hands-on experience with Hadoop, Hive, Apache Spark, and expertise in cloud computing platforms such as Google Cloud Platform (GCP).
Aker Systems, a highly secure enterprise data platform provider, is seeking a Lead Data Engineer to work on solutions that acquire, process, and present data for clients. Responsibilities include coding and testing data pipelines, refining database design, expanding data platform capabilities, and conducting data analysis. The ideal candidate should have experience in data pipeline development, data modeling, Agile methodology, AWS services, Python programming, and Test Driven Development.
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Join the Data Team at Smarkets to work on developing and maintaining ETL pipelines, services, APIs, and data infrastructure. Responsibilities include data exploration, ML model training, and collaboration with different teams for reporting and automation.
The Senior Data Engineer at LiveScore Group will be responsible for querying data sets, building data pipelines, analyzing customer data, generating insights, creating KPI dashboards, providing actionable insights to marketing teams, and developing data architecture solutions. This role requires expertise in SQL, Python, and Google Cloud Platform.
Looking for a Senior Data Engineer to co-lead the Product Development team, with responsibilities in technical builds, approach, and prioritization. Must have experience in data engineering, media tools, data pipelines, and structures.
Lead data engineering teams to achieve functional technology objectives, make strategic decisions, deliver data pipeline and architecture solutions, influence stakeholders, and champion diversity and inclusion.
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Build large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam. Work on machine learning projects and contribute to the team's understanding of best practices for building data pipelines for generative models. Collaborate with other team members and deliver high-quality code.
Seeking a Senior Data Engineer specialized in Databricks to lead a data transformation program, develop scalable data solutions, and automate processes using generative AI techniques. Responsibilities include architecting data solutions, building data pipelines, optimizing models, and collaborating with cross-functional teams. Must have over 6 years of experience in Data Engineering with expertise in Azure and Databricks technologies.
SoundCloud is looking for an experienced Senior Data Engineer to join the Data Corpus team. The role involves building and maintaining a petabyte-scale GCP data warehouse, designing data solutions, and working with various data technologies to provide valuable insights for the business.
Join Capco as a Senior Data Architect to lead agile consulting projects, provide guidance for data management, build modern data architecture services, and support business development in data architecture.
Seeking a Senior Data Engineer with 5+ years of experience in data engineering. Responsibilities include working with fast-paced companies on data transformation using Google Cloud, ETL/ELT, data warehousing, distributed data processing, and streaming data systems. Skills required include Python, JVM language, SQL, cloud data warehouses, GCP tools, and experience with various data engineering tools and practices.
Seeking a Senior Data Engineer to assist in building a next-generation data platform to power reporting, analytics, and insight solutions for B2B products. Responsibilities include building the core data platform, working with cross-functional teams, designing real-time data pipelines, and maintaining data integrity. Desired tech skills include Python, Spark, AWS, Terraform, SQL, NoSQL, Databricks, Snowflake, Docker, ECS, Kubernetes, AWS Step Functions, Airflow, and more.
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