126 to 150 of 305 Permanent BigQuery Jobs

use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. Sentry and Google Cloud Logging More ❯

use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. Sentry and Google Cloud Logging More ❯

use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. Sentry and Google Cloud Logging More ❯

Strong experience with cloud platforms (Google Cloud Platform, AWS, Azure) including containerization technologies (Docker, Kubernetes) and infrastructure as code practices Hands-on experience with database technologies including PostgreSQL, MongoDB, BigQuery, and database design, optimization, and application system integration Prior experience and knowledge of federal technical environments and interrelated systems including government security frameworks, compliance requirements, and federal IT standards More ❯

Advanced proficiency inReact, Typescript,GoorPython Deep understanding of API design (REST, SOAP) Experience working withcloud platforms-GCP strongly preferred, AWS or Azure acceptable Strong database knowledge (PostgreSQL, Firestore, MongoDB, BigQuery, or similar) Demonstrated experience scaling distributed systems or data platforms Excellent communication and leadership skills Preferred Qualifications Background or strong interest in agriculture, environmental tech, or sustainability Prior experience More ❯

Nice to have Experience supporting client projects in a research or consultancy context. Familiarity with survey methodology, MRP, or causal inference techniques. Experience working with cloud-based tools (e.g. BigQuery, GCP). Interest in public opinion, politics, or social science research. An eye for design and clarity in visualising data and outputs. Solid working knowledge of Python (e.g. pandas More ❯

data modelling standards and best practices Technology We're pragmatic about our technology choices. These are some of the things we use at the moment: Python, DBT, Tableau ️ PostgreSQL, BigQuery, MySQL pytest ️ AWS, GCP Docker, Terraform, GitHub, GIT How we expect you to work ️ Collaborate - We work in cross-functional, mission driven, autonomous squads that gel over time. We More ❯

more about joining our team KEY RESPONSIBILITIES As our Head of Data Platform, you will be instrumental in the successful migration of our existing Azure data warehouse to Google BigQuery, laying the foundation for a modern, scalable, and reliable data platform. You'll work closely with stakeholders across the business to ensure that our data architecture supports business intelligence … team will also be responsible for establishing and enforcing DevOps and FinOps best practices. KEY RESPONSIBILITIES Lead the end-to-end migration of the existing data warehouse to Google BigQuery, guiding the internal team and collaborating effectively with our implementation partner. Own and evolve the data platform strategy, architecture, and roadmap. Ensure robust data governance, quality, and security throughout … of experience working in data engineering, data warehousing, or a similar field. Proven experience delivering a significant data warehouse migration, ideally to Google BigQuery. Deep hands-on expertise with BigQuery and other Google Cloud Platform (GCP) services, such as Cloud Storage, Dataflow, Pub/Sub, Dataplex, and IAM. Proven track record of leading and managing technical teams, with excellent More ❯

dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯

fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Key Responsibilities: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯

fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Key Responsibilities: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯

dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯

dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the adoption More ❯

Insurance knowledge is essential. Highly driven and customer-focused individual with up-to-date knowledge in the Data & Analytics sector. Advanced expertise in Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), and APIs. Proficient in Medallion architecture, including design and delivery of its components with ACORD influenced standards. Knowledge in in-memory, appliances, event processing, cloud solutions More ❯

environments, with a focus on automation, scalability, and resilience. Familiarity with container orchestration (e.g., Kubernetes, GKE) and serverless architectures. Exposure to data analytics platforms or big data tools (e.g., BigQuery, Dataflow, Pub/Sub). Programming or scripting skills in Python, Go, or Bash. Experience with incident management, postmortems, and continuous improvement practices. About working for us Our ambition More ❯

environments, with a focus on automation, scalability, and resilience. Familiarity with container orchestration (e.g., Kubernetes, GKE) and serverless architectures. Exposure to data analytics platforms or big data tools (e.g., BigQuery, Dataflow, Pub/Sub). Programming or scripting skills in Python, Go, or Bash. Experience with incident management, postmortems, and continuous improvement practices. About working for us Our ambition More ❯

experimentation About You: A few years' experience in data, analytics, or insights roles - ideally in e-commerce or online consumer behaviour Strong skills in SQL, Excel, and/or BigQuery (or similar tools) Clear communicator with the ability to translate data into actionable stories Commercially minded - you focus on business impact, not just analysis Proactive, curious, and comfortable working More ❯

MarTech landscape and some tech stack management. Strong implementation and usability knowledge of Digital Analytics platforms (Amplitude, Mixpanel). Proficiency in SQL and marketing data platforms (Google Analytics 4, BigQuery). Hands-on experience managing cookie consent platforms (preferably OneTrust) and a thorough knowledge of privacy regulations (e.g., GDPR, CCPA). Experience working with CDPs , CRM, data visualization tools More ❯

knowledge in fraud prevention or compliance. Proficient in English - from casual chats to formal reports. Compliance Team Tech Stack: Backend: Golang Databases: Postgres (PostgreSQL), Bigtable Analytics/Data Warehouse: BigQuery Compensation: Base pay range of 100,000 - 110,000 GBP/120,000 - 130,000 EUR + Series C equity with tremendous upside potential + Attractive benefits The compensation More ❯

we use ️ Programming languages: SQL, Python, LookML, (+ Go for other backend services) Development tools and frameworks: dbt, dagster, Airbyte, dlt, data-diff, Elementary Data lake and warehouse: GCS, BigQuery Analytics: Looker, Looker Studio and geospatial analytics tools How we reward our team Dynamic working environment with a diverse and driven team Huge opportunity for learning in a high More ❯

indexing, relational/dimensional modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development, documentation and testing. Advantageous More ❯

SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager More ❯

SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager More ❯

in Economics or a related field. Special Skill Requirements: 1. SQL; 2. Python; 3. A/B Testing; 4. ETL Processes; 5. Statistical analysis & modeling; 6. Data visualization; 7. BigQuery; 8. Advanced Excel; 9. Product Management sprints; and 10. eCommerce experience. Telecommuting and/or remote employment permitted. Submit resume with references to: Req.# L25-161137 at: Must be More ❯

Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We leverage AWS S3, GCP BigQuery and ElasticSearch for data storage and search. We schedule our workloads on AWS EKS. Our infrastructure is spread across multiple regions and multiple cloud providers. We believe strongly in More ❯