151 to 175 of 264 BigQuery Jobs in the UK

of industry trends. You will have 2 team members reporting into you. SKILLS + EXPERIENCE Strong background in data science, measurement and attribution modelling Tech stack: Google Analytics (GA4), BigQuery/SQL, Google Tag Manager, Adobe Analytics, Salesforce Experience working closely with clients to define and implement data strategies Knowledge of MarTech tools and their integration into business strategies More ❯

AI tools and models across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements Strong academic background in a relevant field Proven track record of delivering More ❯

teams and drive cloud adoption through expert instruction and real-world insights. Key Responsibilities Deliver instructor-led training (virtual and/or in-person) on GCP data services (e.g., BigQuery, Dataflow, Pub/Sub, Looker) Tailor training content to meet the needs of different client teams and industries Support learners with practical labs, Q&A sessions, and certification preparation More ❯

teams and drive cloud adoption through expert instruction and real-world insights. Key Responsibilities Deliver instructor-led training (virtual and/or in-person) on GCP data services (e.g., BigQuery, Dataflow, Pub/Sub, Looker) Tailor training content to meet the needs of different client teams and industries Support learners with practical labs, Q&A sessions, and certification preparation More ❯

They’re Looking For: Experience in a data/insight/analytics role (e-commerce preferred) Ability to explore customer behaviour, campaign performance, and business trends Experience with SQL, BigQuery, Excel or similar Strong communicator who can translate analysis into commercial impact Comfortable working in a fast-moving, high-growth environment Curious, proactive, and eager to get under the More ❯

and segmentation Reporting on sales and transaction performance YOUR SKILLS AND EXPERIENCE GA4 experience is a must have Experience with any data visualization tool is a plus SQL and Bigquery experience is a plus A/B testing experience is a plus Stakeholder management experience required Industry experience a plus BENEFITS Salary up to £50,000 Opportunity to have More ❯

and segmentation Reporting on sales and transaction performance YOUR SKILLS AND EXPERIENCE GA4 experience is a must have Experience with any data visualization tool is a plus SQL and Bigquery experience is a plus A/B testing experience is a plus Stakeholder management experience required Industry experience a plus BENEFITS Salary up to £50,000 Opportunity to have More ❯

within analytics Confident in own ability to use SQL & Tableau (or similar BI tool) Knowledge of working with Python Experience working with a cloud environment for BI & Analytics (ideally BigQuery) Knowledge of the iGaming and Betting industry Proven track record of implementing a strategic data roadmap for BI and reporting If you have a passion for Analytics, iGaming & Betting More ❯

degree in a numerical or technical field is preferred. 3+ years of experience as a programmatic analyst in a media owner or AdTech sector. Strong SQL skills (such as BigQuery and/or MySQL) Proficiency in data visualisation tools (Looker Studio, Tableau, Power BI etc.) Self-starter, organised with strong commercial acumen. Up to £55k base salary + generous More ❯

degree in a numerical or technical field is preferred. 3+ years of experience as a programmatic analyst in a media owner or AdTech sector. Strong SQL skills (such as BigQuery and/or MySQL) Proficiency in data visualisation tools (Looker Studio, Tableau, Power BI etc.) Self-starter, organised with strong commercial acumen. Up to £55k base salary + generous More ❯

looking for: Strong background in software/cloud/DevOps & data engineering Leadership across complex, cross-functional delivery and engineering teams + track record of setting engineering standards GCP (BigQuery, Cloud Composer, IAM) or similar cloud experience Data mesh & modern DevOps knowledge Can have other cloud platforms such as AWS or Azure Platform Engineering Lead? Ready to lead a More ❯

looking for: Strong background in software/cloud/DevOps & data engineering Leadership across complex, cross-functional delivery and engineering teams + track record of setting engineering standards GCP (BigQuery, Cloud Composer, IAM) or similar cloud experience Data mesh & modern DevOps knowledge Can have other cloud platforms such as AWS or Azure Platform Engineering Lead? Ready to lead a More ❯

experiments and prioritise features Help identify new business opportunities and measure the success of ongoing initiatives Own and evolve our analytics stack and data pipeline (e.g., Looker Studio, SQL, BigQuery, GA, Mixpanel, etc.) A little about us Our founders have successfully built and scaled fintech businesses before We've raised from top-tier VCs and leading angel investors Our More ❯

and doing in-product growth work. Technically Proficient - You will need to write SQL and be able to operate in Metabase and tools like Statsig. Our data is in BigQuery, Metabase and Statsig. You don't need to have specific experience with these tools, but you need a good data foundation and the ability to learn them quickly. Creative More ❯

AEs throughout the customer journey, delivering tailored demonstrations and customer POCs based on agreed-upon requirements. Develop deep technical domain expertise in Data Activation, CDP, data warehousing (e.g., Snowflake, BigQuery, Databricks), and integration platforms , with a focus on Enterprise use cases across various industries within EMEA, including financial services, retail, SaaS, and similar enterprises. Be accountable for the exceptional More ❯

make the biggest commercial impact in our business. Technical Acumen & Innovation: Demonstrate deep technical skill and hands-on experience with modern cloud-based data platforms and databases (e.g, Databricks, BigQuery, Snowflake). You'll be expected to understand and deploy their best features to achieve optimal outcomes. AI Enablement: Play a crucial role in enabling AI and machine learning More ❯

Excellent communicator, able to work cross-functionally and tailor messages to different audiences. Hands-on expertise in Python, SQL, ML frameworks (e.g. XGBoost, TensorFlow, PyTorch), and cloud tools (GCP, BigQuery, Vertex AI). Familiar with generative AI tools and frameworks (e.g. OpenAI, HuggingFace, LangChain). Deeply curious, commercially minded, and impact-driven with strong critical thinking skills. Comfortable in More ❯

fast-paced or high-growth environments. A proven ability toship and iteratehigh-impact products at scale. An analytical mindset. You're comfortable with metrics, data tools (like Mixpanel or BigQuery), and using insights to drive product decisions. A balanced approach to product management, balancing MVPs and early experiments with focussed iteration and long-term vision. Sufficient technical knowledge to More ❯

new features and integrations, which you will be part of. Our tech stack: Languages: TypeScript, Javascript Libraries and frameworks: gRPC, Redux, React Native, React, Next.js Datastores: Vitess, MySQL, CockroachDB, BigQuery, Redis Infrastructure: Google Cloud Platform, Kubernetes, Docker, PubSub, Terraform Monitoring: Grafana, Prometheus, Sentry, Metabase About you: You are a frontend developer with at least 5 years' experience You are More ❯

machine learning Confident communicator and collaborator across technical and non-technical teams Pragmatic in build vs. buy decisions Passionate about sustainability, marketplaces, and doing meaningful work AWS and GCP (BigQuery, Looker) Data science and ML experience a plus Bonus if you have: Experience with marketplaces, ecommerce, or apparel Experience building matching engines or recommendation systems CS or Mathematics degree More ❯

to deliver scalable solutions Mentoring junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Tech Stack Languages: JavaScript, Node.js Databases: SQL, PostgreSQL, BigQuery Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) DevOps: Serverless, Heroku, GitHub, CircleCI Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking More ❯

with a diverse group of people with different areas of expertise. You are comfortably organized amongst chaos. Be familiar with our tech stack: TypeScript, React, styled-component Python PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytes AWS, GCP Kubernetes, Docker, Terraform, GitHub, CircleCI Next.js (Preferred) AR/VR (Preferred) Embrace differences and know that when we can be More ❯

high levels of test coverage, strong technical documentation and effective monitoring Preferably exposure to technologies such as Kafka, PostgreSQL, Redis We use Kotlin, PostgreSQL, Kafka, Redis, Datadog, Amplitude, Grafana, BigQuery, ApacheSpark and more A passion for crypto and the transformations it enables COMPENSATION & PERKS Full-time salary based on experience and meaningful equity in an industry-leading company Hybrid More ❯

high levels of test coverage, strong technical documentation and effective monitoring Preferably exposure to technologies such as Kafka, PostgreSQL, Redis We use Kotlin, PostgreSQL, Kafka, Redis, Datadog, Amplitude, Grafana, BigQuery, ApacheSpark and more A passion for crypto and the transformations it enables COMPENSATION & PERKS Full-time salary based on experience and meaningful equity in an industry-leading company Hybrid More ❯

the best Customer Experience You pride yourself on consistent high levels of test coverage, strong technical documentation and effective monitoring We use Kotlin, PostgreSQL, Kafka, Redis, Datadog, Amplitude, Grafana, BigQuery, ApacheSpark and more A passion for crypto and the transformations it enables NICE TO HAVE SardineAI or Sift experience Working with Data science and Analysts Understanding of fraud models More ❯