1 to 25 of 79 BigQuery Jobs in London

data challenges 🛠 Technical Environment Core Expertise Advanced SQL & Python Deep DBT experience (modelling, testing, macros, documentation) Workflow orchestration (Dagster preferred) Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Data modelling for analytics and AI use cases API integrations and ingestion design patterns AI/ML Infrastructure Feature engineering architecture ...

/Polars or equivalent) and production‐quality code. Deep knowledge of SQL and experience with analytical or time‐series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery). Hands‐on experience with AWS (e.g. S3, Lambda, ECS/EKS, Redshift) and modern DevOps practices, including Docker and CI/CD. Proven ...

technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability ...

focused on performance, reliability, automation, and scalability Confidence working cross-functionally and owning technical decisions Exposure to large-scale analytics platforms such as Snowflake, BigQuery, or Databricks Why Join? Work on cutting-edge AI and data technology at meaningful scale Join a fast-growing, profitable business recognised ...

risk/portfolio datasets Time series familiarity (trend/seasonality, cohorts over time, monitoring) Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar) Experience creating automated data quality frameworks or reconciliation checks Benefits: £45,000 – £55,000 salary Hybrid working in London Strong ...

writing, reviewing, and optimising complex queries and DDL. Practical experience with at least one major cloud data platform (Azure Synapse/Fabric, Snowflake, Databricks, BigQuery, AWS Redshift) including cost and performance tuning. Desirable Experience Experience in energy trading, commodities, or financial services data environments (or Big Tech Familiarity with ...

/CD, automated testing, and comprehensive documentation. Your Tech Stack Language: Expert-level Python and advanced SQL . Cloud: Extensive experience with GCP (BigQuery, Cloud Storage, Dataflow/PubSub, Cloud Composer/Airflow). Tools: Experience with data orchestration tools and version control (Git). Environment: Proficiency in building ...

developing your consulting skills with full support from the team. Your Skills and Experience • Strong commercial experience working with SQL and cloud data warehousing (BigQuery or similar). • Hands‐on experience with web analytics platforms such as GA4 or Adobe Analytics. • Understanding of tagging and implementation workflows ...

tools or reporting platforms. Experience designing analytics-ready datasets rather than ingestion pipelines. Strong experience with cloud data warehouse platforms (preferably Google BigQuery/GCP). Strong data analysis and data profiling capability with the ability to interpret complex datasets. Experience implementing analytical modelling approaches such as star schemas ...

space to contribute in their own way. What we're looking for: ·Strong Python and SQL experience in production ·Experience with Spark, Snowflake, BigQuery or similar ·Cloud experience (AWS, GCP or Azure) ·Comfortable working with complex, messy data ·Experience owning pipelines end-to-end ·Collaborative mindset with mentoring experience ...

solutions. * Contribute hands-on to complex engineering challenges and architectural decisions. Your Skills and Experience * Strong commercial experience working with GCP data tooling, including BigQuery, Cloud Storage, Pub/Sub, and Dataflow. * Proficiency in Python and SQL for building well-structured, production-grade pipelines. * Familiarity with infrastructure as code ...

code. Experience scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders ...

entire data ecosystem. 🚀Essential tech skills include proficiency in Python, Spark, and Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with one or more major ...

tools or reporting platforms. * Experience designing analytics-ready datasets rather than ingestion pipelines. * Strong experience with cloud data warehouse platforms (preferably Google BigQuery/GCP). * Strong data analysis and data profiling capability with the ability to interpret complex datasets. * Experience implementing analytical modelling approaches such as star schemas ...

must: Frontend TypeScript Next.js + React - App Router with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data BigQuery - Cloud data warehouse Dataform - SQL transformation framework Cube.js - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data ...

Experience in healthcare, fintech, or other regulated environments Exposure to LLM infrastructure, model serving, or agentic AI frameworks in production Familiarity with data platforms (BigQuery, Airflow, data pipelines) Experience with CI/CD pipelines (GitHub Actions, Cloud Build) and policy-as-code tools Exposure to observability stacks (OpenTelemetry, Prometheus ...

data teams Expert SQL skills and strong Python capability Hands-on experience with dbt (or similar) and modern cloud data warehouses - the preference being BigQuery GCP Experience Experience with Looker advantageous Strong understanding of advertising and performance data, including measurement and attribution Experience building and scaling data governance, testing ...

Role Specification Strategic Vision & Governance Define the global AI & Intelligent Automation strategy, fully aligned with enterprise digital transformation and innovation goals. Establish governance frameworks for AI ethics, model transparency, and Responsible AI, ensuring adherence to ...

Pandas for data manipulation. Proven experience with API automation (REST), Gherkin/BDD, Robot Framework, and Selenium. Practical experience with Google Cloud Platform (preferably BigQuery, Pub/Sub, Cloud Storage). Strong data querying and validation experience across large datasets. Experience testing integrations with other Salesforce products (Sales Cloud ...

technical strategy. Technology environment Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise ...

Kubernetes (GKE) Docker Terraform PHP (Symfony/Drupal) JavaScript Go Cloud SQL/MySQL Redis Nginx Cloud Load Balancing Varnish CDNs Cloudflare Bonus: GCP, BigQuery, Apigee, Vertex AI About You Proven leadership of Platform, DevOps, or SRE teams in high-volume e-commerce, travel, or fintech Deep Kubernetes ...

Kubernetes (GKE) · Docker · Terraform · PHP (Symfony/Drupal) · JavaScript · Go · Cloud SQL/MySQL · Redis · Nginx · Cloud Load Balancing · Varnish · CDNs · Cloudflare Bonus: GCP, BigQuery, Apigee, Vertex AI About You Proven leadership of Platform, DevOps, or SRE teams in high-volume e-commerce, travel, or fintech Deep Kubernetes ...

Strong experience (typically 5+ years) in data engineering roles Advanced skills in Python and SQL Hands-on experience with Databricks, Azure, and GCP/BigQuery Proven ability to work across both legacy systems and modern cloud environments Key Skills DevOps mindset you automate wherever possible and write clean, testable ...

Platform Deep expertise in Cloud Infrastructure, Data Engineering, or AI/ML Hands-on experience with services such as Compute Engine, GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, Vertex AI Proven ability to produce architectural documentation and migration strategies Strong stakeholder engagement and consulting capability Experience working ...

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 ...