Top Data Engineer Jobs in Bristol

The Lead Data Engineer will design and oversee data pipelines and platforms, ensuring reliability, scalability, and governance while collaborating with various stakeholders.

The Senior Consultant Data Engineer will lead the development of data pipelines, engage in client projects, and enhance Squarcle's technology capabilities by collaborating across teams to deliver effective data solutions.

Create, verify and maintain landing-gear maintenance manuals (AMM, TSM, AFI) to EASA standards, manage aircraft configuration data, resolve customer technical queries and AOGs, oversee subcontracted authoring, and contribute to digital technical-data improvements.

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

The Data Engineer will build and scale data pipelines, ensure data quality, implement dbt best practices, and empower cross-functional teams with self-service data access.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Build and improve data pipelines that ingest, normalize, and distribute European power market data. Enhance APIs, monitoring, alerting, and performance; collaborate with data scientists and market experts to expand coverage and develop new product features.

The Data Engineer will enhance data pipelines, manage development projects, ensure compliance, and utilize CI/CD practices for deployment.

The Data Architect/Data Engineer will design scalable data architectures, build and optimize data pipelines, ensure data governance, and support advanced analytics and personalization, particularly using Adobe Experience Platform.

Design, build, and maintain scalable data pipelines and models (ingestion, modelling, orchestration). Ensure data quality via testing and monitoring, participate in code reviews, shape data architecture, and enable analytics/BI across the organisation.

The Senior Manager - Data Engineer leads technical delivery, data engineering best practices, and team management. Responsibilities include governance, architecture design, client interactions, and promoting continuous improvement in data solutions.

The Consultant Data Engineer supports data engineering projects, developing data pipelines, collaborating with teams, engaging with clients, and contributing to product and technology strategy.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

The Data Engineer designs and maintains data products and pipelines for analytics, working collaboratively with the Information Management Pod to ensure data integrity and performance.

The role involves developing and maintaining the Enterprise Data Warehouse, optimizing queries, and supporting data analysis and business intelligence activities.

Support digital configuration and asset data delivery in a nuclear project. Ensure data quality, maintain asset schedules, produce reports, and collaborate with teams for data consistency.

The Data Engineer will build and maintain data infrastructure, optimize performance pipelines, and ensure efficient data ingestion and querying for analysis within a high-performance AI media platform.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Design, build, and optimise scalable data pipelines and Lakehouse layers (Bronze/Silver/Gold) in Microsoft Fabric using SQL and PySpark. Integrate ERP/CRM/APIs, ensure data quality/governance, support Power BI semantic models, monitor and troubleshoot pipelines, and collaborate with stakeholders for analytics and reporting.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

The Data Engineer will design and maintain the data infrastructure, develop data warehousing solutions, automate data pipelines, and ensure compliance with governance policies.

Work on Tumelo's ProxySphere SaaS and new AI platform: build and refactor services, implement workflow and vote-submission systems, design REST APIs, create and maintain automated AWS data pipelines, apply event-driven architectures, and follow DevOps/CI/CD practices to deliver scalable, testable solutions.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.