1 to 11 of 11 Permanent BigQuery Jobs in the North of England with Remote Work Options

performance. l Proficient in data modeling and data warehousing. l Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. l Strong problem-solving skills and a meticulous approach to code reviews. l Proven more »

Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data more »

Warehouse and ETL experience Ability to speak to stakeholders up to C-suite. Visualisation experience (Looker, Qlik, or Power BI) Data Pipeline experience (Python, BigQuery, or SQL) What you'll get: A salary of up to £65,000 Animal friendly working environment Hybrid working Company performance based bonus more »

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 more »

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 more »

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 more »

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 more »

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 more »

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 more »

and transformation with your expertise in cloud-based data services like BigQuery and Dataflow. What will you be doing? Data Engineering in Google BigQuery: Design, build, test, and deploy data models and transformations for efficient data analysis. Utilise BigQuery's capabilities including SQL, stored procedures, indexing, clustering … skills needed: Python Programming: Proficient in building, testing, and deploying production-ready code. SQL Fluency: Experienced in working with relational and cloud databases (e.g., BigQuery, GCP) Data Pipelines: Possess expertise in building and maintaining Extract, Transform, Load (ETL) processes and dataflows. Continuous Learner: Demonstrate a strong desire to learn more »

for the data warehouse development team. Managing, prioritising and monitoring team work streams. Developing processes and standards for Ab Initio ETL product. Managing the BigQuery database platform. Gaining an intimate and detailed knowledge of the Business processes and data structures. Developing departmental standards and enforcing the adherence to the more »