Google BigQuery

data warehouse, analytics, google cloud, olap

Open jobs

1892

Companies looking for BigQuery

1723

Google’s love letter to SQL fans who hate waiting. A serverless, fully-managed data warehouse, BigQuery excels at handling massive datasets without breaking a sweat—or requiring you to think about infrastructure. Its pay-as-you-go pricing model is straightforward enough to make Redshift sweat, and its seamless integration with the Google ecosystem (hello, Sheets and Looker) is a big plus.
But here’s the catch: it’s great for queries, not for transactions. Updates and deletes? Painfully slow. Complex transformations? Better off in a dedicated ETL tool. And while its flat-rate pricing option is tempting for high-volume users, the cost can balloon if you’re not diligent with query optimization or data partitioning.
Best suited for analytics-first shops with structured data and a love of SQL, BigQuery delivers on speed and simplicity—just don’t bring it to a transaction-heavy brawl.

Used together with BigQuery

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Jobs (this month)

1892

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using Google BigQuery for

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Others

but please no

Agile/Scrum

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Activity Schema

Adobe Analytics

Agile/Scrum

Artificial Intelligence/Machine Learning

Airbyte

Apache Airflow

Alation

Alteryx

Amplitude

Analytics

Analytics Engineering

Ansible

Apache Flink

Application Programming Interface (API)

AppDynamics

Redpanda

Webhooks

Argo CD

Apache Arrow

Astronomer

Amazon Athena

Apache Avro

Amazon Web Services (AWS)

Amazon Aurora

AWS CloudFormation

Amazon CloudWatch

Amazon EC2

Amazon EMR

AWS Glue

Amazon Kinesis

AWS Lambda

Amazon RDS

Microsoft Azure

Azure Data Factory

Azure DevOps

Bash

Apache Beam

Business Intelligence (BI)

Big Data

BigEye

Google BigQuery

Blendo

Blockchain

C

C#/.NET

Apache Cassandra

Cyber Security

Certified Cloud Security Professional (CCSP)

Certified Information Systems Security Professional (CISSP)

FinOps

Customer Data Platform (CDP)

Chef

Chroma

Continuous Integration/Continuous Delivery (CI/CD)

Circle CI

ClickHouse

Cloud Computing

Cloud Storage

Cloudflare

Azure Cosmos DB

Collibra

IBM Cognos

Computer Science

Confluence

C++

Customer Relationship Management (CRM)

Comma-Separated Values (CSV)

Cypress

Dagster

Dashboard

Data Analytics

Data Contracts

Data Engineering

Data Governance

Data Lake

Data Lakehouse

Data Management

Data Modelling

Data Quality

Data Science

Data Vault

Data Visualization

Databricks

Datacoral

Datadog

Google Cloud Dataflow

Datafold

Google Dataform

Dataiku

DataOps

Google Cloud Dataproc

Data Analysis Expressions (DAX)

dbt (data build tool)

Delta Lake

DevOps

Docker

Dremio

DuckDB

Data Warehouse

DynamoDB

Dynatrace

Elasticsearch/ELK Stack

Enterprise Resource Planning (ERP)

ETL/ELT

Ethereum

Binance

Non-Fungible Tokens (NFT)

Geographic Information System (GIS)

Decentralized Finance (DeFi)

Smart Contracts

Chainalysis

Web3

Microsoft Excel

Feather

Fivetran

Funnel

Google Cloud Platform (GCP)

GDPR/CCPA

Generative AI

Git

GitHub

GitLab

Go

Google Analytics

Google Cloud Composer

Google Cloud Data Fusion

Google Cloud Functions

Google Cloud Run

Google Sheets

Grafana

Google Tag Manager (GTM)

Apache Hadoop

Apache HBase

Hierarchical Data Format

Hadoop Distributed File System (HDFS)

Heap Analytics

Hevo Data

Apache Hive

HyperText Markup Language (HTML)

Hubspot

Hyper-V

IBM

Apache Iceberg

Informatica

Data Collection

Internet of Things (IoT)

Java

JavaScript

Jenkins

Jira

JavaScript Object Notation (JSON)

JSON Schema

Apache Kafka

Keras

Kibana

(Kimball) Dimensional Modeling

Kissmetrics

Key Performance Indicator (KPI)

Kubernetes

Linux

Large Language Models (LLM)

Logstash

Looker

Looker Studio

Luigi

Management

MariaDB

Marketing

Marketing Mix Modeling (MMM)

Master Data Management

Masthead Data

Matillion

MATLAB

Matomo

Matplotlib

Modern Data Stack

Meltano

Mendix

Metabase

Microsoft

Microsoft Fabric

Mixpanel

MLOps

Mode Analytics

MongoDB

Monte Carlo

MySQL

IBM Netezza

Neo4j

New Relic

Natural Language Processing (NLP)

NoSQL

NumPy

Opsgenie

Oracle

Optimized Row Columnar (ORC)

PagerDuty

Pandas

Apache Parquet

Pendo

Doctor of Philosophy (PhD)

Pinecone

Piwik PRO

Plausible Analytics

Playwright

Plotly

Polars

PostgreSQL

Microsoft Power BI

Microsoft PowerPoint

PowerShell

Prefect

Presto

Process Mining

Prometheus

Protocol Buffers

Pub/Sub

Pulumi

Puppet

Puppeteer

Pydantic

PySpark

Python

PyTorch

Qlik

Amazon QuickSight

R (Language)

Retrieval Augmented Generation (RAG)

Relational Database Management System (RDBMS)

React

Redash

Redis

Amazon Redshift

Recurrent Neural Networks

Rust

Amazon S3

Software as a Service (SaaS)

Amazon SageMaker

SAP

SAS

Scala

Scikit-learn

SciPy

Seaborn

Twilio Segment

Selenium

Singer

Sisense

Snowflake

Snowplow

Apache Spark

Splunk

SPSS

Structured Query Language (SQL)

SQLMesh

SQLFluff

SQLFmt

Microsoft SQL Server

SQL Server Analysis Services (SSAS)

SQL Server Integration Services (SSIS)

SQL Server Reporting Services

Stitch

Data Streaming

Supermetrics

Apache Superset

Azure Synapse Analytics

TIBCO Spotfire

Tableau

Talend

TensorFlow

Teradata

Bicep

Infrastructure as Code (IaC)

Azure Resource Manager (ARM)

Terraform

Terragrunt

Third Normal Form (3NF)

TOML

Trifacta

Apache Trino

Apache Druid

TypeScript

Unix

Visual Basic for Applications (VBA)

Vector DB

Vertica

VirtualBox

Virtual Machine

VMware

Microsoft Word

Extensible Markup Language (XML)

Xplenty

Yet Another Markup Language (YAML)

Motherduck

PostHog

Kestra

Omni Analytics

Thoughtspot

Lightdash

Hudi

Open Table Format (OTF)

Lance

data engineer Google Cloud Data Engineer - Sector cosmética @ devoteam ES \| 2025-12-27 Devoteam G Cloud seeks several GCP-focused Data Engineers for Spain, a role that doubles as cloud-data plumber and governance advocate. You'll translate client needs into scalable pipelines with... read more »	Cloud Computing, GCP, Dataflow, Dataproc, Cloud Functions, ETL/ELT, API, BigQuery, Cloud Storage, Data Quality, Cloud Run, SQL, Python, Terraform, Git, Airflow	Google Cloud Data Engineer - Sector cosmética devoteam (ES) FULL TIME \| JOB LISTED Devoteam G Cloud seeks several GCP-focused Data Engineers for Spain, a role that doubles as cloud-data plumber and governance advocate. You'll translate client needs into scalable pipelines with Dataflow, Dataproc, Cloud Functions and Composer, with BigQuery and Cloud Storage at the core. ETL/ELT design, data quality and security compliance, and cost/performance optimization are explicit priorities, with automation via orchestration tools and scripting. The tech roster reads cleanly: BigQuery, Dataform, Cloud Run, Cloud Build, Artifact Registry; SQL, Python, Terraform, Git; plus comfort with Composer/Airflow. English at B2+ rounds out the requirement for multinational clients. What stands out is a genuine cloud-first data engineering role inside a European consultancy, but there's little on career progression beyond team growth and ongoing upskilling. The market expects strong vendor-ecosystem fluency; beware potential lock-in and a heavy incident-management burden on enterprise projects. Generated content Technology used Cloud Computing GCP Dataflow Dataproc Cloud Functions ETL/ELT API BigQuery Cloud Storage Data Quality Cloud Run SQL Python Terraform Git Airflow Listed At 2025-12-27 2025-10-23 (original listing) Similar Jobs Loading... Permalink View original posting
analyst Senior Analytics Consultant @ deptagency ES \| 2025-12-25 Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe... read more »	Analytics, KPI, Marketing, Management, GTM, Data Collection, DataViz, Looker Studio, Power BI, Google Analytics, Adobe Analytics, Piwik PRO, Looker, Tableau, SQL, Python, GCP, Cloud Computing, BigQuery	Senior Analytics Consultant deptagency (ES) FULL TIME \| JOB LISTED Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe Analytics, Piwik Pro), and visualization (Looker Studio, Power BI, Tableau). It asks for SQL, Python, and Google Cloud, with a bias toward BigQuery; evident focus on measurement plans, data quality audits, and cross-functional collaboration with developers. Strengths: solid exposure to end-to-end data flows, client-facing analytics strategy, and a chance to shape KPI ecosystems across multiple brands. Weaknesses: the title may overpromise on data engineering breadth; ambiguity in salary and career progression; agency pace can erode deep technical work; reliance on external data sources may complicate governance. Location options broaden access but imply travel or remote flexibility. Overall: practical in-market role for analytics engineers, not a unicorn. Generated content Technology used Analytics KPI Marketing Management GTM Data Collection DataViz Looker Studio Power BI Google Analytics Adobe Analytics Piwik PRO Looker Tableau SQL Python GCP Cloud Computing BigQuery Listed At 2025-12-25 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting
promoted The Fundamentals of Analytics Engineering The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.	Learn More
analytics engineer BI Engineer @ fever-up ES \| 2025-12-25 Fever, a global tech platform for entertainment, seeks an Analytics Engineer to develop trusted data models and support self-service analytics. The role's differentiator is its emphasis on data... read more »	Snowflake, dbt, Airflow, Metabase, Analytics, Data Engineering, SQL, Marketing, KPI, CRM, Data Quality, BI, Python, PhD, Data Science, Data Modelling, Data Vault, Dagster, Prefect, Cloud Computing, BigQuery, Redshift, Superset, Tableau, Collibra	BI Engineer fever-up (ES) FULL TIME \| JOB LISTED Fever, a global tech platform for entertainment, seeks an Analytics Engineer to develop trusted data models and support self-service analytics. The role's differentiator is its emphasis on data mesh principles, which could lead to complex implementation risks if governance standards falter. The company boasts a broad international scope and modern data tools, but the specifics of compensation are not provided, leaving salary details absent. The position involves collaboration across engineering and business teams, with a focus on data quality and automation, within a fast-paced, multilingual environment. Generated content Technology used Snowflake dbt Airflow Metabase Analytics Data Engineering SQL Marketing KPI CRM Data Quality BI Python PhD Data Science Data Modelling Data Vault Dagster Prefect Cloud Computing BigQuery Redshift Superset Tableau Collibra Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
analytics engineer Senior Analytics Engineer @ fever-up ES \| 2025-12-24 Fever pitches itself as a federated data platform for culture and live entertainment, and this Analytics Engineer sits at the bridge between data engineering and business analytics. You’ll design,... read more »	Snowflake, dbt, Airflow, Metabase, Analytics, Data Engineering, SQL, Marketing, KPI, CRM, Data Quality, BI, Python, PhD, Data Science, Data Modelling, Data Vault, Dagster, Prefect, Cloud Computing, BigQuery, Redshift, Superset, Tableau, Collibra	Senior Analytics Engineer fever-up (ES) FULL TIME \| JOB LISTED Fever pitches itself as a federated data platform for culture and live entertainment, and this Analytics Engineer sits at the bridge between data engineering and business analytics. You’ll design, build, and maintain DBT/SQL data models, define and certify metrics across B2B, Marketing, CRM, and Product, and enable self-service analytics through BI tools. Expect to contribute to Airflow pipelines in Python, advance data observability and governance, and push domain-owned datasets as part of a data mesh. The stack is real: Snowflake, DBT, Airflow, DataHub, Metabase, plus familiar cloud warehouses and visualization tools. The upside is tangible ownership and impact in a high-growth, globally scaled business; the friction is governance overhead, cross-team coordination, and the inevitable slog of federated architecture, not just pretty dashboards. If you crave responsible data products over buzzwords, this is worth a closer look. Generated content Technology used Snowflake dbt Airflow Metabase Analytics Data Engineering SQL Marketing KPI CRM Data Quality BI Python PhD Data Science Data Modelling Data Vault Dagster Prefect Cloud Computing BigQuery Redshift Superset Tableau Collibra Listed At 2025-12-24 2025-09-26 (original listing) Similar Jobs Loading... Permalink View original posting

data engineer Google Cloud Data Engineer - Sector cosmética @ devoteam ES \| 2025-12-27 Devoteam G Cloud seeks several GCP-focused Data Engineers for Spain, a role that doubles as cloud-data plumber and governance advocate. You'll translate client needs into scalable pipelines with... read more »	Cloud Computing, GCP, Dataflow, Dataproc, Cloud Functions, ETL/ELT, API, BigQuery, Cloud Storage, Data Quality, Cloud Run, SQL, Python, Terraform, Git, Airflow	Google Cloud Data Engineer - Sector cosmética devoteam (ES) FULL TIME \| JOB LISTED Devoteam G Cloud seeks several GCP-focused Data Engineers for Spain, a role that doubles as cloud-data plumber and governance advocate. You'll translate client needs into scalable pipelines with Dataflow, Dataproc, Cloud Functions and Composer, with BigQuery and Cloud Storage at the core. ETL/ELT design, data quality and security compliance, and cost/performance optimization are explicit priorities, with automation via orchestration tools and scripting. The tech roster reads cleanly: BigQuery, Dataform, Cloud Run, Cloud Build, Artifact Registry; SQL, Python, Terraform, Git; plus comfort with Composer/Airflow. English at B2+ rounds out the requirement for multinational clients. What stands out is a genuine cloud-first data engineering role inside a European consultancy, but there's little on career progression beyond team growth and ongoing upskilling. The market expects strong vendor-ecosystem fluency; beware potential lock-in and a heavy incident-management burden on enterprise projects. Generated content Technology used Cloud Computing GCP Dataflow Dataproc Cloud Functions ETL/ELT API BigQuery Cloud Storage Data Quality Cloud Run SQL Python Terraform Git Airflow Listed At 2025-12-27 2025-10-23 (original listing) Similar Jobs Loading... Permalink View original posting
analyst Senior Analytics Consultant @ deptagency ES \| 2025-12-25 Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe... read more »	Analytics, KPI, Marketing, Management, GTM, Data Collection, DataViz, Looker Studio, Power BI, Google Analytics, Adobe Analytics, Piwik PRO, Looker, Tableau, SQL, Python, GCP, Cloud Computing, BigQuery	Senior Analytics Consultant deptagency (ES) FULL TIME \| JOB LISTED Here's a concise critique: The role anchors on digital analytics delivery in an agency setup, with a toolkit heavy on tag management (GTM, Tealium), analytics suites (Google Analytics, Adobe Analytics, Piwik Pro), and visualization (Looker Studio, Power BI, Tableau). It asks for SQL, Python, and Google Cloud, with a bias toward BigQuery; evident focus on measurement plans, data quality audits, and cross-functional collaboration with developers. Strengths: solid exposure to end-to-end data flows, client-facing analytics strategy, and a chance to shape KPI ecosystems across multiple brands. Weaknesses: the title may overpromise on data engineering breadth; ambiguity in salary and career progression; agency pace can erode deep technical work; reliance on external data sources may complicate governance. Location options broaden access but imply travel or remote flexibility. Overall: practical in-market role for analytics engineers, not a unicorn. Generated content Technology used Analytics KPI Marketing Management GTM Data Collection DataViz Looker Studio Power BI Google Analytics Adobe Analytics Piwik PRO Looker Tableau SQL Python GCP Cloud Computing BigQuery Listed At 2025-12-25 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting
promoted The Fundamentals of Analytics Engineering The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.	Learn More
analytics engineer BI Engineer @ fever-up ES \| 2025-12-25 Fever, a global tech platform for entertainment, seeks an Analytics Engineer to develop trusted data models and support self-service analytics. The role's differentiator is its emphasis on data... read more »	Snowflake, dbt, Airflow, Metabase, Analytics, Data Engineering, SQL, Marketing, KPI, CRM, Data Quality, BI, Python, PhD, Data Science, Data Modelling, Data Vault, Dagster, Prefect, Cloud Computing, BigQuery, Redshift, Superset, Tableau, Collibra	BI Engineer fever-up (ES) FULL TIME \| JOB LISTED Fever, a global tech platform for entertainment, seeks an Analytics Engineer to develop trusted data models and support self-service analytics. The role's differentiator is its emphasis on data mesh principles, which could lead to complex implementation risks if governance standards falter. The company boasts a broad international scope and modern data tools, but the specifics of compensation are not provided, leaving salary details absent. The position involves collaboration across engineering and business teams, with a focus on data quality and automation, within a fast-paced, multilingual environment. Generated content Technology used Snowflake dbt Airflow Metabase Analytics Data Engineering SQL Marketing KPI CRM Data Quality BI Python PhD Data Science Data Modelling Data Vault Dagster Prefect Cloud Computing BigQuery Redshift Superset Tableau Collibra Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
analytics engineer Senior Analytics Engineer @ fever-up ES \| 2025-12-24 Fever pitches itself as a federated data platform for culture and live entertainment, and this Analytics Engineer sits at the bridge between data engineering and business analytics. You’ll design,... read more »	Snowflake, dbt, Airflow, Metabase, Analytics, Data Engineering, SQL, Marketing, KPI, CRM, Data Quality, BI, Python, PhD, Data Science, Data Modelling, Data Vault, Dagster, Prefect, Cloud Computing, BigQuery, Redshift, Superset, Tableau, Collibra	Senior Analytics Engineer fever-up (ES) FULL TIME \| JOB LISTED Fever pitches itself as a federated data platform for culture and live entertainment, and this Analytics Engineer sits at the bridge between data engineering and business analytics. You’ll design, build, and maintain DBT/SQL data models, define and certify metrics across B2B, Marketing, CRM, and Product, and enable self-service analytics through BI tools. Expect to contribute to Airflow pipelines in Python, advance data observability and governance, and push domain-owned datasets as part of a data mesh. The stack is real: Snowflake, DBT, Airflow, DataHub, Metabase, plus familiar cloud warehouses and visualization tools. The upside is tangible ownership and impact in a high-growth, globally scaled business; the friction is governance overhead, cross-team coordination, and the inevitable slog of federated architecture, not just pretty dashboards. If you crave responsible data products over buzzwords, this is worth a closer look. Generated content Technology used Snowflake dbt Airflow Metabase Analytics Data Engineering SQL Marketing KPI CRM Data Quality BI Python PhD Data Science Data Modelling Data Vault Dagster Prefect Cloud Computing BigQuery Redshift Superset Tableau Collibra Listed At 2025-12-24 2025-09-26 (original listing) Similar Jobs Loading... Permalink View original posting

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Used together with BigQuery

Additional Resources

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Google Cloud Data Engineer - Sector cosmética @ devoteam

Senior Analytics Consultant @ deptagency

The Fundamentals of Analytics Engineering

BI Engineer @ fever-up

Senior Analytics Engineer @ fever-up