11 of 11 Contract BigQuery Jobs in England

Engineer, or BI Engineer, ideally with exposure to People Analytics or similar domains. Deep expertise with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS ...

organisations . Knowledge of real estate financial concepts (IRR, NPV, cash flows, lease structures). Familiarity with data & analytics platforms (Power BI, Tableau, Snowflake, BigQuery). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

organisations . Knowledge of real estate financial concepts (IRR, NPV, cash flows, lease structures). Familiarity with data & analytics platforms (Power BI, Tableau, Snowflake, BigQuery). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

within GCP Required Experience Strong hands-on experience building and deploying ML models on Google Cloud Platform Experience with services such as Vertex AI, BigQuery, Cloud Storage, and Cloud Functions/Cloud Run Solid Python experience for ML and data engineering workloads Experience productionising models (not just experimentation ...

Integrating Looker and enabling reporting for end-users within general guardrails Your Profile Essential Skills/Knowledge/Experience Python GCP Services GCS, GKE, BigQuery PySpark, DBT IAM Role & Groups CI/CD Tools Jenkins, Harness or equivalent Design & Architecture Data product design with in guard rails and estimating ...

platforms (IBM DataStage, Ab Initio, Teradata) Infrastructure design (compute, storage, networking, IAM) Migration strategy, cutover & rollback planning Stakeholder engagement & architecture documentation Nice to have: BigQuery/Dataflow/Dataproc Terraform/CI-CD Docker/Kubernetes ...

data modelling, replication, and query optimization. • Hands-on experience with SQL and NoSQL databases is desirable. • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. • Data Platform Management • Comfortable operating in hybrid environments (cloud and on-prem). • Experience integrating diverse data sources and systems ...

financial modeling, SQL coding, and executive storytelling. The Profile The SQL Specialist: You don't wait for data downloads. You write your own queries (BigQuery/Snowflake) to extract insights from massive, raw datasets. The Automation Architect: You have a 'manual-is-broken' mindset. You've replaced clunky spreadsheets … Tier-1 Tech (Amazon, Meta, Salesforce) or Strategic Consulting (Big 4/MBB). Technical Toolkit Hard Requirement: Advanced SQL (Complex JOINs, Window Functions, BigQuery). Modeling: Mastery of Google Sheets and driver-based forecasting (modeling metrics like user traffic or server latency). Visualization: Experience building automated reporting ...

In the role you will be designing and developing complex data processing modules and reporting using Big Query and Tableau. In addition, you will also work closely with the Infrastructure/Platform Team who are ...

lifecycle including design, modelling, security reviews, testing and transition to BAU. Contribute to the design and build of data solutions on cloud platforms, particularly BigQuery and native transformation tooling. Collaborate with vendors on assessments, RFPs and solution implementation. Essential Skills Strong experience with cloud-native data architectures, ideally … GCP. Deep knowledge of BigQuery, modern data processing patterns, warehouses and Lakehouse design. Experience with data governance, lineage, metadata and data quality tooling. Practical delivery of Data Products aligned to Data Mesh principles. Strong architectural modelling and documentation skills. Experience designing for performance, scalability, resilience and cost optimisation. Ability ...

production codebases (not just isolated development). Cloud Experience: Solid experience with any major public cloud provider (GCP, AWS, or Azure). Experience with BigQuery would be good. Machine Learning: Experience supporting and understanding ML pipelines and models in a production setting. Direct experience with Google Cloud Platform, BigQuery ...