151 to 175 of 585 Remote BigQuery Jobs

a challenging start-up environment. You have a curious mind and love problem-solving. We are looking for candidates who have Demonstrable, in-depth experience with SQL, particularly in BigQuery and PostgreSQL. Proven experience with dbt, focusing on building and maintaining efficient, scalable, and reliable DAGs. Proficiency in Python for data manipulation, scripting, or automation tasks. Are proficient with More ❯

Our Company: QiH is a global digital marketing group specialising in the iGaming sector, operating across various international markets. Our companies include Digital Adventures , which provides traffic to leading iGaming operators; Wizard Interactive , an affiliate partner for top US online More ❯

dimensional modelling Familiarity with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so please apply even if your past More ❯

of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to learn about and use data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. Responsibilities You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services, and platforms. You have a More ❯

Data Visualisation Consultant (Pyramid Analytics) Department: Delivery Employment Type: Full Time Location: Bristol, UK Reporting To: Tim Andrews Compensation: £30,000 - £40,000/year Description The headlines... Start Date - Flexible Location - Hybrid; 1-2 days per week in our More ❯

Reporting to: Secured Revenue Strategy Lead Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Credit Risk, Analysis, Insight Top 3 qualities for this role: Curious, problem solver, attention to detail Closing date More ❯

Senior Information Analyst Medical Research Council – Head Office Salary: £36,650 annum Band: UKRI D Team: Evaluation and Analysis Team Reports to: MRC Lead Analyst Hours: Full time or Part time (minimum 30 hours per week) Contract Type: Open Ended. More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Join to apply for the Lead Data Analyst role at PetLab Co. Join to apply for the Lead Data Analyst role at PetLab Co. Get AI-powered advice on this job and more exclusive features. Direct message the job poster More ❯

Role: Senior Data Analyst Location: London (Hybrid - 3 days in-office) Salary: £60,000- £80,000 Industry: Retail Overview: This is an exciting hands-on opportunity well-suited to a versatile individual who thrives in dynamic, fast-paced environments. The More ❯

Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation Recruitment Consultant | SR2 - Socially Responsible Recruitment SR2 are currently looking for a highly motivated Senior Data Engineer for financial services company in Central London. Location: Central London More ❯

Widen the Net Limited provided pay range This range is provided by Widen the Net Limited. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the More ❯

Lead Data Analyst - Growth & Retention Location: Remote (1 Day per month in London office) Department: Data Reports to: Director of Data About the Role We're looking for a Lead Data Analyst to join our Growth team and play a More ❯

across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI More ❯

across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI More ❯

across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI More ❯

across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI More ❯

across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI More ❯

such as Google Search Console, Ahrefs, etc Good knowledge of commercial optimisation Desirable Qualities: Good knowledge of Python, data analytics libraries, REST/RESTful APIs, Google Cloud Platform (GCP), BigQuery, and Relational databases is a plus Familiarity with current trends in Analytics, E-commerce, AI Search, LLMs, and Marketing would be desirable Consistent and proactive contributions to improve the More ❯

the integrity of analytics data (e.g. implementation of measurement frameworks, data collection and reporting configurations). Qualifications Must-Have Skills Experience with SQL, ideally on cloud-based platforms (e.g. BigQuery) with the ability to model data for advanced analysis. Ability to join various data sources (in BigQuery, Sheets, Looker Studio etc.) to enable cross-functional reporting and analysis. More ❯