7 of 7 Permanent BigQuery Jobs in South Yorkshire

and practical experience with generative AI applications, including prompt engineering and fine-tuning. Strong experience with cloud platforms (e.g., GCP, AWS, Azure) and their data/ML services (e.g., BigQuery, Databricks, Vertex AI, Sagemaker). Experience with DevSecOps performance metrics, e.g., strong background with DORA Metrics and other relevant performance indicators. We value diverse perspectives and are committed to More ❯

and practical experience with generative AI applications, including prompt engineering and fine-tuning • Strong experience with cloud platforms (e.g., GCP, AWS, Azure) and their data/ML services (e.g., BigQuery, Databricks, Vertex AI, Sagemaker) • Metrics & Process: DevSecOps performance metrics e.g. strong background with DORA Metrics and other relevant performance indicators Being open to different points of view is important More ❯

to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services and platforms. You have More ❯

datasets. Excellent communication and collaboration skills. Preferred Qualifications Experience in energy, utilities, or sustainability sectors. Knowledge of scripting languages (Python, R) for data manipulation. Familiarity with cloud platforms like BigQuery or Snowflake. #J-18808-Ljbffr More ❯

sustainable, more inclusive world. YOUR ROLE Writing and maintaining reusable Python scripts for data analysis and testing of Real-Time streaming Data Pipelines. Writing and executing SQL queries on BigQuery to extract and manipulate data. Understand requirements to create test plans, test cases, test data and automate using Pytest. Creating Jenkins CI/CD jobs to integrate tests and More ❯

collaboration skills. Preferred Qualifications: Experience in the energy, utilities, or sustainability sectors. Knowledge of scripting languages (e.g., Python or R) for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake) Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function Information Technology Industries Information Services and Financial Services Referrals increase your chances More ❯

We utilize both Vercel and AWS Amplify for the seamless deployment and hosting of our applications, depending on project requirements. Our cloud data stack sits within GCP, using a BigQuery based warehouse. Skills Beyond the core competencies, success in this role hinges on specific, hands-on experience in the following areas: Next.js Expertise: Demonstrable experience with server-side rendering More ❯