Top Data Engineer Jobs in Bristol

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.

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

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

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.

As a Senior Java Engineer, you will develop and optimize backend services for data-intensive applications, focusing on high reliability and performance in live sports environments. You will collaborate on architectural decisions, manage data pipelines, and work within an agile team deploying applications on AWS.

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.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

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

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 creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The Senior Data Engineer will lead data solution lifecycles, mentor junior engineers, manage data processes, and support analytics within cross-functional teams.

Design and maintain reliable data solutions, lead a squad of engineers, develop scalable data pipelines, and ensure adherence to data standards.

As a Senior Data Engineer, you will design, develop, and maintain scalable data pipelines, ensuring data quality and integration to support business requirements.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

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 Junior Data Engineer will design and optimize data infrastructure on GCP, focusing on ETL/ELT pipelines and ensuring data quality, governance, and security.