76 to 100 of 125 Remote BigQuery Jobs

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 ❯

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 ❯

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 ❯

Job Description - Digital Insights Analyst (15578) Job Description Digital Insights Analyst ( 15578 ) Description We have an exciting opportunity for a Digital Insights Analyst to join our amazing team on a permanent contract, based in Luton. (Hybrid working) With millions of More ❯

Location: Remote-first (UK-based) 💰 Rate: Up to £550 p/d 📆 Contract: 6 - 12 months (Outside IR35) 🛠 Tech Stack: Python, FastAPI, GCP, BigQuery, Apache Spark, Apache Beam, Google Cloud Dataflow We're working with a forward-thinking consultancy that helps top companies build and scale high-performance data … Developing and improving backend APIs to support data-heavy applications What You Need: ✔ Strong Python skills – writing clean, efficient, and scalable code ✔ Experience with BigQuery, PostgreSQL, and Elasticsearch ✔ Hands-on experience with Google Cloud, Kubernetes, and Terraform ✔ Deep understanding of Apache Spark for large-scale data processing ✔ Knowledge of More ❯

on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record … manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks More ❯

on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record … manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks More ❯

on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL). Modelling & Statistical Analysis experience, ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track … manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks More ❯

deep dive analysis that influence the trajectory of the team's roadmap. Data modelling and analysis of key concepts, KPIs and patterns using dbt, BigQuery and SQL. Create interactive and informative dashboards and reports in Looker. Plan, implement, and analyse A/B tests to evaluate the impact of … new product features against KPIs. Most importantly, you will have the opportunity to work on a modern Data platform (BigQuery, Looker, dbt), surrounded by an eclectic team of great Data professionals covering areas such as Product Analytics, Data Science and Data & Analytics Engineering. Who you are You have strong More ❯