106 Data Engineer jobs in United Kingdom available for remote work from home. Apply for positions such as Data Engineer, Data Engineer, Data Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data Engineer will design, integrate, and implement modern data solutions while collaborating with engineering, analyst, and data science teams. They are responsible for processing payer files into the Data Warehouse and supporting the migration of existing workloads to the cloud.
You will design, build, and maintain scalable data pipelines, models, and integrations to support decision-making and AI-driven solutions. You will work collaboratively with data scientists and business teams to solve complex data challenges and improve the university's data capabilities.
Lead the design and architecture of end-to-end analytics solutions using Power BI and Microsoft Fabric. Collaborate with stakeholders to translate business requirements into scalable data models and reporting frameworks.
Own and scale the central database and knowledge graph that serves as the memory for AI agents and product features. Design ingestion pipelines for funding rounds and market news while ensuring end-to-end data quality and entity resolution.
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The Senior Data Engineer will design and implement data pipelines from key CRM and ERP sources, ensuring the reliability of data for AI-driven workflows. Responsibilities include overseeing data architecture, establishing feedback loops, and delivering advanced analytical products.
Build and manage scalable enterprise data infrastructure and ingestion pipelines for contract and procurement data. Collaborate with AI and product teams to provision datasets that power autonomous negotiation agents.
The Data Engineer will design, build, and optimize scalable data pipelines and complex data models using Python, Dagster, and Snowflake. They will take ownership of end-to-end data projects while ensuring high standards of data quality and engineering best practices.
Design and maintain scalable data pipelines and ETL frameworks to ensure data availability and accuracy for public sector customers. Drive the data engineering roadmap by defining technical strategies and optimizing data workflows for performance and cost efficiency.
Build secure, repeatable data ingestion and transformation pipelines to produce auditable outputs. Focus on data cleansing, standardization, and the processing of geospatial datasets for national-level analytical outputs.
Build and maintain scalable data models and pipelines using BigQuery, Dataform, and Python within a GCP environment. Collaborate with data scientists and product teams to transform raw data into reliable foundations for analytics and ML workloads.
Build and scale reliable data pipelines from ingestion to delivery while establishing dbt best practices and data standards. Create self-service tooling and AI agents to empower cross-functional teams to independently access and analyze data.
You will design and maintain high-performance data pipelines and architect scalable data warehouse solutions to support enterprise-level AI and data infrastructure. Additionally, you will participate in on-call rotations to ensure production reliability and mentor junior engineers on best practices.
You will be responsible for operating and extending cloud infrastructure for data ingestion pipelines to support model training. Additionally, you will collaborate with scientists and leadership to optimize data quality and scale while defining the AI team's dataset roadmap.
The role involves managing data collection and ingestion pipelines to support AI model training at scale. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap.
The role involves managing data collection operations and operating cloud infrastructure to support model training at scale. You will collaborate with scientists and leadership to optimize data pipelines and define the dataset roadmap for AI products.
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The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for next-generation AI products.
The Senior Data Engineer will build and scale data infrastructure, including core ETL/ELT pipelines and identity methodologies. They will also manage infrastructure deployment and scaling across AWS and Kubernetes while ensuring data reliability and performance.
You will build and govern data ingestion pipelines using Python, Airflow, and cloud warehouse technologies like Snowflake or Databricks. Additionally, you will investigate pipeline failures, mentor junior engineers, and collaborate with stakeholders to ensure data reliability and security.
You will own and build the large-scale data infrastructure and pipelines required to train frontier AI models. This includes designing data curation strategies and developing tooling to enable researchers to process massive datasets efficiently.
You will be responsible for all aspects of data collection to support model training operations, including building and maintaining ingestion pipelines. You will also collaborate with scientists and leadership to define the dataset roadmap and optimize infrastructure for cost and scale.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the AI team's dataset roadmap.
You will design and maintain high-volume data ingestion and ETL pipelines to process telemetry from mobile endpoints. Additionally, you will collaborate with the research team to productionize detection logic and extract complex data from forensic artifacts.
The engineer will design, develop, and optimize UniData/Universe applications to manage complex commission-processing logic and distributor hierarchies. They will also perform data extraction, transformation, and reconciliation while ensuring the accuracy of high-volume transactional data.
The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap.
We watch for new "Data Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap.
You will build and maintain automated data pipelines and develop algorithms to extract relevant information from websites and images. Additionally, you will manage the data infrastructure and create analytics reports for internal and external stakeholders.
You will build and maintain ELT pipelines while monitoring their health and data freshness within a multi-tenant environment. Additionally, you will collaborate with data and product teams to extend modeling layers and support CI/CD and ingestion projects.
![Smart Working Solutions is hiring for remote Lead Data Engineer (Contract, Full-Time) [HR208] (UK)](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
You will architect and lead the data infrastructure for an AI-powered property management platform, managing real-time pipelines and data storage. Additionally, you will define engineering standards and help build the data team as the first senior hire.
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