Top Data Engineer Jobs in Bristol

Maintain and enhance the data platform, deliver development projects, own BAU processes, apply software engineering practices, ensure compliance, and deploy changes via CI/CD and Terraform. Build and optimise GCP big-data pipelines (BigQuery, Dataflow/Apache Beam, Cloud Run/Functions, Workflows/Composer), develop SQL, ETL, data models, and support data warehousing and analytics.

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 at AECOM will design and optimize data platforms, support analytics, and maintain high-quality data solutions across projects.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Senior Microsoft Data Engineer will design and build business intelligence solutions on Azure, utilizing SQL Server, Data Warehousing, and BI practices to meet client needs.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

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 Principal Data Engineer will architect and implement scalable data systems, ensure performance and reliability, lead technical strategy, and improve operational efficiency across data engineering projects.

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 AWS Data Platform Engineer will build and maintain data pipelines, improve data infrastructure, collaborate with teams, and ensure data reliability.

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.

The Data Engineer will build and optimize ETL/ELT pipelines, collaborate on data solutions, and create Power BI dashboards to support business decisions.

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 design and maintain data infrastructure, develop data warehousing solutions, automate ELT pipelines, and ensure data governance while collaborating with stakeholders.

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.

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

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.

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

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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