6 of 6 BigQuery Jobs in Leeds

Lead Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable, maintainable, and high-performance data pipelines ...

Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable, maintainable, and high-performance data pipelines ...

experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending on experience ...

unique. We'd love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. Experience in Data ...

threat protection). Automate Apigee deployments and configurations using Infrastructure as Code (IaC) principles. Integrate Apigee with GCP services (Cloud Functions, Pub/Sub, BigQuery, etc.) for end-to-end solutions. Build automated workflows and scripts for API operations using Python . Manage API analytics, monitoring, and logging ...

discipline, with solid foundations in statistics and programming. The Role You’ll be embedded in client delivery from day one, initially working in a BigQuery-based environment, with opportunities to support other data platforms over time. In practice, that means you’ll: Design, build, test, and deploy data science … using version control (e.g. Git) to collaborate and manage code sensibly (essential). Experience working with large-scale data and cloud platforms such as BigQuery, Snowflake, or Databricks (nice to have). Experience designing and deploying machine learning workflows in cloud environments (nice to have). How You Work ...