Top Data Engineer Jobs in Bristol

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.

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

You will coordinate logistics data projects, ensure operational accuracy, and collaborate with digital delivery teams to improve service levels and efficiency.

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.

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.

Design, build and maintain scalable data pipelines (streaming, batch, API) using Azure data services. Collaborate with product, infra, and data science teams to deliver ETL, data modelling, integrations, and prototypes. Support client engagements, participate in Agile delivery, ensure best-practice code and documentation, and obtain required security clearance.

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.

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

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 and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

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 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.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Senior Data Engineer will build data pipelines, work with various data platforms, adopt best practices, and mentor engineers.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

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 Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

The Java Engineer will develop and optimize data-intensive backend services, manage data feeds, and work on real-time insights for sports events.