76 to 100 of 132 Remote BigQuery Jobs

Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file More ❯

Tech stack We're pragmatic about our technology choices. These are some of the things we use now: TypeScript, React, styled-components Python ️PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest ️ AWS, GCP ECS Fargate, Docker, Terraform, GitHub Actions How we expect you to work We expect you More ❯

client needs, and delivering impactful technical presentations and solutions. Key Responsibilities: Technical Expertise: Deep knowledge of Google Cloud Platform (GCP) services (Compute Engine, Kubernetes, BigQuery, etc.). Ability to explain complex technical concepts to both technical and non-technical audiences. Expertise in cloud computing concepts (IaaS, PaaS, SaaS, serverless More ❯

environments Authentication upgrade: Migrate from custom auth to Auth0 (or similar), with social login + MFA Data governance: Apply labelling to Postgres, S3 and BigQuery data Web security hardening: Audit React, GraphQL and FastAPI layers to eliminate XSS/CSRF and strengthen CSP Static analysis remediation: Triage and address More ❯

environments Authentication upgrade: Migrate from custom auth to Auth0 (or similar), with social login + MFA Data governance: Apply labelling to Postgres, S3 and BigQuery data Web security hardening: Audit React, GraphQL and FastAPI layers to eliminate XSS/CSRF and strengthen CSP Static analysis remediation: Triage and address More ❯

data, and finance teams to connect spend to business outcomes. Build the performance reporting infrastructure in collaboration with the data team. Use Excel, SQL, BigQuery, and Tableau to analyse, model, and visualise campaign performance. Develop and lead a high-performing team of in-house marketers and agency/freelance More ❯

data, and finance teams to connect spend to business outcomes. Build the performance reporting infrastructure in collaboration with the data team. Use Excel, SQL, BigQuery, and Tableau to analyse, model, and visualise campaign performance. Develop and lead a high-performing team of in-house marketers and agency/freelance More ❯

use in the role: AWS & GCP and various services, including AWS ECS, EC2, Fargate, Lambda, and GCP Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Terraform for IaC Docker Kubernetes Linux (sysadmin including firewalls and hardening) Web Server Config (Apache, Nginx) Database management (MongoDB & MySQL) for high More ❯

and entry points, including: Data Transformation services (internal and customer-facing) Shopify, Commercetools, and BigCommerce integrations Connectors Platform (supports common data sources like JSON, BigQuery, and MySQL, etc) Join our team and play a key role in shaping the future of data ingestion at Algolia! You will have the More ❯

and entry points, including: Data Transformation services (internal and customer-facing) Shopify, Commercetools, and BigCommerce integrations Connectors Platform (supports common data sources like JSON, BigQuery, and MySQL, etc) Join our team and play a key role in shaping the future of data ingestion at Algolia! You will have the More ❯

and entry points, including: Data Transformation services (internal and customer-facing) Shopify, Commercetools, and BigCommerce integrations Connectors Platform (supports common data sources like JSON, BigQuery, and MySQL, etc) Join our team and play a key role in shaping the future of data ingestion at Algolia! You will have the More ❯

stack We're pragmatic about our technology choices. These are some of the things we use now: TypeScript, React, styled-components Java & Python PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest AWS, GCP ECS Fargate, Docker, Terraform, GitHub Actions How we expect you to work We expect you More ❯

in data strategy, architecture, data integration with at least 5 years in Architect role Healthcare domain experience Strong hands-on experience GCP services like BigQuery, Dataproc, DataFlow, CloudSQL, Spanner, etc Expertise in various data integration patterns supporting batch, near realtime, real time with hands on implementation experience including Tools More ❯

Agile environment, managing the backlog. Product Launch & Iteration: Own product launches, including go-to-market plans. Data Analysis & Reporting: Track and analyse key metrics (BigQuery, Segment, Superset, Metabase). Stakeholder Management: Communicate product updates and gather stakeholder feedback. Tool Proficiency: Utilise Jira, Appcues, Segment, and Notion. Qualifications: 18+ months More ❯

Strong project management skills - you're able to build structure, coordinate stakeholders, and keep work moving at pace. Technical fluency: APIs, data platforms (SQL, BigQuery, Looker), product mechanics. Exceptional communication skills - written, visual, and verbal - with a calm, client-friendly approach. Comfortable working cross-functionally and juggling multiple complex More ❯

currently span across three different areas: Data Engineering: development and maintenance of ETL pipelines, services and APIs, and data-related infrastructure like Redshift or BigQuery; Data Science and Machine Learning: data exploration, ML models training and ML Ops to extract new insights from data; Analytics and Reporting: creation of … engineering teams in a Flask API; Our current technology stack primarily includes Linux, Docker, Kubernetes, Jenkins, Kafka, Python, Flask, Postgres, AWS Redshift, dbt, Google Bigquery, Prometheus, Grafana, Elastic Search, Kibana, Sisense. Your responsibilities As a member of the data team, your responsibilities will include contributions to: Developing and maintaining … be user facing e.g. sending notifications to users; Ensuring our data lake is kept in a healthy state, particularly our data warehouses: Redshift and Bigquery; Developing and maintaining Flask services and Postgres databases within the Data team to provide access to data or manage certain business entities relevant to More ❯

and governance of analytics data assets, ensuring compliance with regulatory and internal standards. Optimize performance and cost-efficiency across cloud data warehouses like Snowflake, BigQuery, Databricks, or Redshift. Establish technical standards, processes, and frameworks for analytics engineering excellence. What We Seek Bachelor's Degree required; Advanced Degree preferred 10+ … Looker, Tableau, Mode) and their data modeling layers. Experience in Airflow, Dagster, or similar orchestration tools Experience in cloud data platforms such as Snowflake, BigQuery, and/or Databricks Expertise in Git-based version control and CI/CD processes for data assets Experience overseeing large-scale data initiatives More ❯

As a BA, you will be responsible for leading and coordinating the requirements gathering from the internal stakeholders within our business for our technology department. Your primary focus will be on working with key non-technical stakeholders in the business More ❯

As a BA, you will be responsible for leading and coordinating the requirements gathering from the internal stakeholders within our business for our technology department. Your primary focus will be on working with key non-technical stakeholders in the business More ❯

methodologies). Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience building and optimising pipelines and ETL/ELT workflows. Working knowledge of data warehouse technologies (Snowflake, BigQuery). Code More ❯

Location: Remote-first (UK-based) 💰 Rate: Up to £550 p/d 📆 Contract: 6 - 12 months (Outside IR35) 🛠 Tech Stack: BigQuery, SQL, GCP (Dataflow, Cloud Storage, Pub/Sub), ETL/ELT, Python We’re working with a fast-moving team that’s building high-performance data infrastructure on … is a great opportunity to lead with impact and collaborate across teams. What You’ll Be Doing: 🔹 Designing and implementing scalable data pipelines using BigQuery and other GCP tools 🔹 Developing and maintaining ETL/ELT workflows for transforming and aggregating data 🔹 Optimising database performance for cost-effective, efficient querying … junior engineers and fostering a strong engineering culture What You Need: ✔ Strong SQL skills and experience with large-scale datasets ✔ Hands-on experience with BigQuery and GCP tools like Dataflow, Cloud Storage, and Pub/Sub ✔ Deep knowledge of query optimisation and performance tuning ✔ Proven experience with ETL/ More ❯

refining prompts to improve LLM performance in structured data querying and other business-specific applications. Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring … such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring … maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding More ❯

refining prompts to improve LLM performance in structured data querying and other business-specific applications. Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring … such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring … maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding 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 ❯

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 ❯