Top Data Engineer Jobs in Bristol

The Senior Manager - Data Engineer leads data engineering projects, ensures technical quality, and partners with clients to develop robust data solutions. Responsibilities include governance, architecture design, compliance, and team leadership, impacting both client delivery and internal product development.

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

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

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

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

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.

As a Data Engineer, you will develop and maintain data systems, automate data pipelines, collaborate with stakeholders, and ensure data governance compliance.

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 ETL/ELT pipelines and data models using Python, SQL, Spark and Azure. Ensure data quality, governance and performance, create dashboards, and work with cross-functional teams to deliver scalable data solutions.

Lead design and delivery of data engineering solutions and pipelines for Squarcle products and clients. Build ETL/streaming pipelines, integrate APIs and SaaS, work with cross-functional teams, mentor staff, contribute to product strategy, and ensure security and Agile delivery aligned to GDS standards.

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

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.

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.

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.

As a Software Engineer, you'll manage data collection and infrastructure for AI model training, collaborating with scientists and stakeholders to enhance data processing workflows.

The Senior Data Platform Engineer is responsible for designing, developing, and implementing data solutions and technologies, evaluating emerging platforms, and leading projects while collaborating with data architecture 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.

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

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.

As a Senior Data Engineer, you'll design and develop data processing solutions, collaborate with architects, mentor team members, and ensure operational readiness in agile teams.

As a Full Stack Software Engineer, you will design and build internal tooling for data observability, develop visualizations, and collaborate with data and business teams.

As a Senior Software Engineer, you will develop and maintain ClickHouse's data ecosystem, focusing on Python integrations with orchestration and transformation tools. You'll engage with the open-source community while enhancing performance and reliability for data practitioners.