12 of 12 BigQuery Jobs in Yorkshire

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 ...

automated testing and quality assurance practices. Mindset: Demonstrated commitment to continuous learning and excellent communication skills. Good to Have GCP Data Services: Experience with BigQuery , Spanner , Cloud Composer , or Dataflow . Generative AI: Exposure to LangChain , LangGraph , or similar tools; interest in building agentic solutions. ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

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 ...

Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based ...

Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based ...

Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based ...

Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. … life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote (UK based ...

Experience using any IDE platform (e.g. Backstage IDP) for Cloud Engineering. Good to have understanding on GCP Data Products - Cloud SQL, GCS, PubSub, Dataflow, BigQuery, Vertex AI Technologies - GCP DevOps, CI/CD, Terraform (IaaC), Google Cloud, Jenkins, Harness, Python Products - GCP Data Products, Cloud SQL, GCS, PubSub, Dataflow … BigQuery, Vertex ...