76 to 100 of 178 BigQuery Jobs in England

reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

Engineering, Growth, and Product, you'll ensure that data is reliable, unified, and readily accessible for both analytics and experimentation. Skills & Experience Strong expertise with Google Cloud Platform, especially BigQuery Proficient in SQL and Python Confident working with analytics engineering tools like dbt Senior Data Engineer More ❯

type checking/hinting. Version control: Git workflows (branching, PRs, tagging, semantic versioning). Google Cloud Platform (GCP): Hands-on experience with services like Vertex AI, Google Cloud Storage, BigQuery, Google Artifact Registry. GCP Professional Machine Learning Engineer or Associate Cloud Engineer certifications are a plus. ML model productionisation: Experience operationalising models on Google Cloud Platform or the internal More ❯

type checking/hinting. Version control: Git workflows (branching, PRs, tagging, semantic versioning). Google Cloud Platform (GCP): Hands-on experience with services like Vertex AI, Google Cloud Storage, BigQuery, Google Artifact Registry. GCP Professional Machine Learning Engineer or Associate Cloud Engineer certifications are a plus. ML model productionisation: Experience operationalising models on Google Cloud Platform or the internal More ❯

processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with dbt, data visualisation (ThoughtSpot a bonus), GA4, Google Ads, Meta, Klaviyo Exposure to Snowflake, BigQuery, or Shopify is a plus A self-starter who enjoys problem-solving and making data accessible for non-technical teams Package & Setup: £55,000 salary Hybrid: 2 days per More ❯

processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with dbt, data visualisation (ThoughtSpot a bonus), GA4, Google Ads, Meta, Klaviyo Exposure to Snowflake, BigQuery, or Shopify is a plus A self-starter who enjoys problem-solving and making data accessible for non-technical teams Package & Setup: £55,000 salary Hybrid: 2 days per More ❯

ongoing optimisation. Collaborate with cross-functional teams including product, design, and data science to deliver innovative, customer-focused solutions. Work with modern technologies such as Python, Django, Cloud Firestore, BigQuery, and Elasticsearch to deliver scalable, reliable software. Contribute to continuous improvement by identifying opportunities to enhance system architecture and code quality. Participate in code reviews, mentoring, and knowledge sharing More ❯

in SQL and reporting, and proven people management skills. Commercially sharp, confident in engaging with senior stakeholders, and able to explain complex ideas simply. Experience with cloud platforms (Google BigQuery, Looker, Data Studio) and customer or retail analytics would be a real advantage. Why apply? This is a chance to take a leadership role where data and insight are More ❯

on experience managing cloud providers, with significant experience in AWS and Google Cloud Platform (GCP). Familiarity with GCP services such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Familiarity with configuration management and IT automation tools. Strong understanding of DevOps and SRE principles. Soft Skills: Self-motivated, highly organised, and capable of driving initiatives from More ❯

understanding of the software development lifecycle, from conception to deployment. Capable of conceptualizing and implementing software architectures spanning multiple technologies and platforms. Technology stack Python Flask Java Spring JavaScript BigQuery Redis ElasticSearch Airflow Google Cloud Platform Kubernetes Docker Voted "Best Places to Work," our culture is driven by self-starters, team players, and visionaries. Headquartered in Los Angeles, California More ❯

leadership to define best practices, coding standards, and long-term technical strategy. Design, develop, and oversee the delivery of robust, production-grade software built using Python, Django, Cloud Firestore, BigQuery, and Elasticsearch. Mentor and guide engineers at all levels, fostering a culture of technical excellence and continuous improvement. Collaborate with cross-functional teams - including product, data, and design - to More ❯

of stakeholders to ensure the company are making Data driven decisions. Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP Tech Stack: Python & SQL DBT, AirFlow & BigQuery AWS/GCP ETL Pipelines Base salary of £90k-£115k depending on skills and experience Excellent overall package including a sizeable bonus and stock options Hybrid working in Central More ❯

analytics, and reporting Develop robust, reusable data pipelines (API, flat-file, EDI) from supplier portals and internal systems (ERP, finance, CRM, operations) into a central warehouse (e.g., Snowflake/BigQuery/Redshift) Implement transformation and modelling layers (e.g., dbt) with well-documented, tested datasets (staging, marts) that map to key business domains (orders, jobs, invoices, suppliers, credit control) Establish More ❯

analytics, and reporting Develop robust, reusable data pipelines (API, flat-file, EDI) from supplier portals and internal systems (ERP, finance, CRM, operations) into a central warehouse (e.g., Snowflake/BigQuery/Redshift) Implement transformation and modelling layers (e.g., dbt) with well-documented, tested datasets (staging, marts) that map to key business domains (orders, jobs, invoices, suppliers, credit control) Establish More ❯

making processes within the role. Technology We're pragmatic about our technology choices. These are some of the things we use now: Python, NodeJS TypeScript, React,styled components ️ PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest ️ AWS, GCP Docker, Terraform, GitHub, CircleCI How we expect you to work ️ We expect you to work in these ways, as well More ❯

oversee two junior analysts, providing guidance and mentorship. YOUR SKILLS AND EXPERIENCE: Strong hands-on experience with GA4 (open to Adobe Analytics profiles) Proficiency in SQL and/or BigQuery Deep understanding of web/product analytics and on-site customer journey analysis Familiarity with tagging and tracking implementation (e.g., Google Tag Manager) Exposure to A/B testing More ❯

autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus Ability to work independently More ❯

autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus Ability to work independently More ❯

cloud infrastructure. We are looking for someone who can start within the next few weeks. Key Responsibilities Build, manage, and optimise infrastructure on GCP (Compute Engine, GKE, Cloud Storage, BigQuery, etc.) Automate deployments using Terraform or similar IaC tools Implement CI/CD pipelines and monitor cloud environments for performance and cost efficiency Ensure cloud systems meet security and More ❯

on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio. You'll need: Proven experience in digital/product analytics - not marketing-focused Strong SQL & BigQuery skills GA4 (or Adobe Analytics) expertise Comfort working with GTM/implementation teams Some A/B testing exposure You'll report directly to the Analytics Lead, within a More ❯

on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio. You’ll need: Proven experience in digital/product analytics – not marketing-focused Strong SQL & BigQuery skills GA4 (or Adobe Analytics) expertise Comfort working with GTM/implementation teams Some A/B testing exposure You’ll report directly to the Analytics Lead, within a More ❯

on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio. You'll need: Proven experience in digital/product analytics - not marketing-focused Strong SQL & BigQuery skills GA4 (or Adobe Analytics) expertise Comfort working with GTM/implementation teams Some A/B testing exposure You'll report directly to the Analytics Lead, within a More ❯

workload: ~75% hands-on technical analytics/25% stakeholder-facing insight and communication. PROJECT EXPOSURE GTM setup and tagging for paid campaigns. Dashboard development and automation (Looker Studio). BigQuery integration and data engineering (around 10% of role). Supporting performance decision-making with data-driven recommendations. SKILLS & EXPERIENCE REQUIRED Strong experience in digital analytics - ideally within an agency More ❯