6 of 6 Data Pipeline Jobs in Warwickshire

Job Title: Senior Data Engineer Location: Warwick, Hybrid - 2 days per week onsite Remuneration: Up to £650 per day Contract Details: Fixed Term Contract (6 months) Working Pattern: Full Time Join a leading organisation dedicated to connecting people to the energy they use safely, reliably, and efficiently! We're on the lookout for a talented Senior Data Engineer to elevate our data capabilities and drive our projects forward. If you're passionate about data engineering and thrive in a dynamic environment, we want to hear from you! Responsibilities: Lead the design, development, and maintenance of large-scale data systems, including data warehouses, data lakes, and … data pipelines. Create and manage ETL processes using tools like Matillion for seamless data integration. Develop and maintain data warehouse objects such as tables, views, and security roles in Snowflake. Extract data from various sources, ensuring accuracy and consistency throughout the process. Transform and cleanse data, implementing data More ❯

you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Data Scientist/Senior Data Scientist Join British Airways as a Data Scientist in our cutting-edge Operations Decision Support (ODS) product team. This full-stack … role sits at the heart of our transformation, combining data science, machine learning, and optimisation to build industrialised decision-support software. If you're passionate about solving real-world problems through intelligent, data-driven solutions and thrive in a collaborative, agile environment-this is your opportunity to make a real impact. What you'll do: Design … with software engineering teams, product & change teams to turn their models into industrialized products that are used by the airline every day to make better decisions. Build robust data pipelines, automate data cleaning, and deliver scalable, production-grade Python code using best practices such as typing, testing, and modular design. Integrate models into orchestration frameworks (e.g. More ❯

Excel VBA. Experience with CI/CD pipelines and Azure DevOps is also valued. Key Responsibilities: - Develop serverless applications using Cloud Functions (Python or Node.js) - Build and optimise data pipelines with Cloud Dataflow - Manage relational databases via Cloud SQL (PostgreSQL/MySQL) - Implement workflows using GCS triggers and IAM permissions - Integrate APIs using Apigee - Create Excel-based automation More ❯

ranks 189 on the Fortune 500. Further information about Lear is available at or on Position overview: As an Application Solution Architect, you will design and implement scalable, data-driven solutions using Palantir Foundry. You'll work closely with business stakeholders, data engineers, and developers to translate business needs into robust technical architectures that leverage Foundry … technical constraints. Design scalable and efficient data models and ontologies within Foundry. Define and oversee the development of data pipelines and workflows using Foundry's Pipeline Builder and Code Repositories. Lead integration of external systems and APIs into Foundry for seamless data flow. Work with cross-functional teams to gather requirements, define architecture … TECHNICAL/PERSONNEL SKILLS : Experience designing scalable data models and ontologies. Understanding of semantic data modelling and entity relationships. Familiarity with Foundry's Ontology SDK, Pipeline Builder, and Code Workspaces. Experience integrating external systems and APIs into Foundry. Knowledge of data transformation, cleansing, and enrichment techniques. Awareness of data privacy, access More ❯

version control systems like Azure DevOps is a strong plus. Main responsibilities: Design, develop, and deploy applications using Google Cloud Functions (Python or Node.js). Implement and optimize data pipelines using Google Cloud Dataflow. Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL). Handle file operations and trigger-based workflows using Google Cloud Storage. Configure More ❯

impactful projects that leverage the latest in cloud-native technologies. Key Responsibilities: Design, develop, and deploy applications using Google Cloud Functions (Python or Node.js). Implement and optimise data pipelines using Google Cloud Dataflow. Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL). Handle file operations and create trigger-based workflows using Google Cloud Storage. More ❯