7 of 7 Permanent ETL Jobs in Bristol

GCP-based data platforms , including BigQuery, Dataflow, CloudSQL, Spanner, Pub Sub, Cloud composer and GKE. Data Engineering : Proficient in modern data tools and frameworks for building, operating, and optimising ETL/ELT pipelines, streaming data, and batch processing. SRE & Automation : Strong understanding of SRE principles, CI/CD, infrastructure as code, and operational automation. Data Literacy : Ability to design, develop More ❯

programming languages - ML/DL frameworks (TensorFlow, PyTorch, scikit-learn, etc.) - DevOps practices, CI/CD, IaC, Docker, Kubernetes - Version control (Git) and collaborative development tools - Data engineering and ETL workflows - Monitoring/logging tools (Prometheus, Grafana, ELK, etc.) - Cloud platforms (AWS, Azure, Google Cloud) with focus on Google Cloud - Strong analytical, problem-solving, communication, and collaboration skills; attention to More ❯

throughout delivery. As a Data Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize insights for business value Support More ❯

services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and More ❯

with Microsoft Fabric as the preferred option * Experience with modern data warehousing * Strong data modelling skills across relational and NoSQL * Experience with governance, metadata, master data and integration including ETL ELT and API based approaches NO SPONSORSHIP can be offered for this role. if that sounds of interest to you then please apply, or reach out to for more information. More ❯

Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers, ensuring compliance … . •Experience working with containerised applications (e.g. Docker, Swarm or Kubernetes) in a Linux-based environment. •Solid understanding of RESTful API design, microservices architectures, and asynchronous workflows. •Familiarity with ETL processes, data warehousing and distributed systems. Not necessary for you apply, but would be great if you also have: •Experience with data visualisation tools such as Apache Superset, Jupytr or More ❯

defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. The Data Engineer will have experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. You will join the business at a period of huge growth. WE ALSO HAVE OPENINGS IN THE FOLLOWING … is a significant growth area for the business with a diverse and growing capability, and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What More ❯