Top Data Engineer Jobs in Bristol

As a Data Engineer, you'll develop data pipelines, maintain cloud infrastructure, implement ETL processes, and collaborate with teams to ensure data quality and delivery.

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 cloud data solutions, support data scientists, develop data systems, and manage data performance in an agile environment.

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.

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.

Seeking a skilled Microsoft Fabric Data Engineer responsible for designing, developing, and maintaining data solutions within the Microsoft Fabric ecosystem and optimizing data pipelines.

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.

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 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.

The Data Engineer Manager will lead data engineering projects, ensure high-quality solutions, mentor team members, and manage client relationships, ensuring delivery aligns with business value.

The Data Engineer role involves designing and deploying production data pipelines, collaborating with stakeholders, and utilizing AWS technologies for data processing and analytics.

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 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.

As a Data Engineer, you will build and scale data infrastructure, manage AWS cloud resources, and optimize ETL processes to support analytics and business needs.

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

As a Senior Data Quality Engineer, you'll lead automation frameworks, address data quality in engineering projects, and ensure successful product delivery.

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, build, and maintain data infrastructure, automate ELT pipelines, and ensure data compliance and quality. Responsibilities include collaborating with stakeholders, developing data warehousing solutions, and recommending new technologies.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The role involves building and maintaining data infrastructure, ensuring efficient collection, processing, and storage of data while collaborating on projects and employing data quality measures.