51 to 75 of 129 Remote BigQuery Jobs

in B2B Saas/Tech/software industry) Demonstrable passion for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as : Looker If you don't have the experience but can demonstrate the passion and knowledge in More ❯

skills for building and optimising data pipelines Experience working with cloud platforms (e.g., AWS, GCP, or Azure) Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, or BigQuery) Understanding of data modelling and warehousing principles Experience working with large datasets and distributed systems What's in it for you? Up to £70k Hybrid working More ❯

Studio, Tableau, Power BI, Trevor.io) Strong communication skills - able to explain data to non-technical audiences Highly self-motivated and comfortable managing your own workload Bonus Skills Experience with BigQuery or similar cloud data warehouses Familiarity with Looker (full version) Basic forecasting/modelling skills Exposure to product, marketing, or operational data Why Apply? High-ownership role with exposure More ❯

Studio, Tableau, Power BI, Trevor.io) Strong communication skills – able to explain data to non-technical audiences Highly self-motivated and comfortable managing your own workload Bonus Skills Experience with BigQuery or similar cloud data warehouses Familiarity with Looker (full version) Basic forecasting/modelling skills Exposure to product, marketing, or operational data Why Apply? High-ownership role with exposure More ❯

and loading processes for various data sources (e.g., databases, APIs, cloud storage). Ensure data quality, consistency, and security throughout the data pipeline. Leverage GCP services (e.g., Dataflow, Dataproc, BigQuery, Cloud Storage ) to build and maintain cloud-native data solutions. Implement infrastructure as code (IaC) principles using Terraform to automate provisioning and configuration. Manage and optimize cloud resources to … data engineering best practices and standards. Collaborate with cross-functional teams to deliver complex data projects. This role will be a great fit if: Expert in GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, and Cloud Functions. GCP Professional Data Engineer Certification is highly favourable. Advanced knowledge of SQL for complex data transformation and query More ❯

informed, data-led choices Ideal Candidate: Hands-on experience with GA4 and Google Tag Manager implementation Confident working with large datasets; experience with cloud-based analytics tools such as BigQuery is valuable Proven ability to deliver analytical solutions in ecommerce or retail-focused environments Comfortable presenting data findings to both technical and non-technical audiences Understands digital marketing performance More ❯

informed, data-led choices Ideal Candidate: Hands-on experience with GA4 and Google Tag Manager implementation Confident working with large datasets; experience with cloud-based analytics tools such as BigQuery is valuable Proven ability to deliver analytical solutions in ecommerce or retail-focused environments Comfortable presenting data findings to both technical and non-technical audiences Understands digital marketing performance 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 ❯

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 ❯

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 ❯

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 ❯

have strong working experience with data visualisation tools: Looker Studio, Tableau, or PowerBI (ideally more than one) You're confident writing clean, efficient SQL, and if you've used BigQuery, even better! You're comfortable working in DBT to join datasets and build reliable data models You've built self-serve dashboards that help internal teams answer their own More ❯

not), or supporting strategic decisions with data, this role will give you broad exposure across ecommerce and digital marketing performance. 🛠️ What You'll Need Proven experience using SQL and BigQuery to pull and manipulate data Exposure to Power BI and Google Analytics is a bonus A strong commercial mindset with a track record of delivering insights that drive impact More ❯

fast-paced researchExcellent verbal and written communication skillsExperience managing small teamsExperience managing projectsExperience with cloud computing, especially Google CloudExperience with databases, especially graph databasesExperience with big data technologies (e.g., BigQuery, Spark)Familiarity with issues in computer data securityFamiliarity with FAIR principles of data management - Other duties may also be assigned The expected pay range for this position is More ❯

in Excel At least 4 years experience in a Data Analysis position Knowledge and experience of SQL databases, writing SQL queries, and working with large data sets (preferably Google BigQuery) Experience working in an embedded operating model where analysts are partnered with business domains to deliver actionable insights (desirable) Knowledge and experience in presenting figures and trends from data More ❯

manage platform health and technical debt Knowledge and Skills Significant professional software engineering experience gained in a full-stack environment, ideally with experience using Google Cloud, Python, React, Kubernetes, BigQuery, or similar modern technologies. Hands-on experience developing, shipping, operating, and/or maintaining consumer and/or enterprise web applications. Demonstrated passion for delivering testable, instrumented, and reliable More ❯

y ou'll likely also get involved with some of the following, so experience would be a plus C# .NET MVC/WebApi Python Django MongoDB Azure DevOps Google BigQuery CosmosDB Azure Service Bus/Pulsar RabbitMQ Angular nUnit High performance/big data systems Multitenant systems Information security Why Us Don't just take our word for it More ❯

years of experience in data analysis with a strong focus on data extraction, analysis, and manipulation. Excellent experience in margins, revenue and pricing. Expertise in GTM/GA4, BigQuery, SQL, and Excel (VBA & Macros). Familiarity with tools like Power BI and Python is a significant advantage. Salary & Benefits Salary: £55,000 per annum Benefits include a comprehensive package More ❯

insights clearly to non-technical stakeholders Experience with campaign analysis, customer segmentation, and lifetime value modelling Commercial mindset with a focus on growth and retention Desirable: Experience with GA4, BigQuery, or other advanced analytics tools Familiarity with churn, retention, or cross-sell modelling Background in healthcare, eCommerce, or subscription-based businesses Exposure to scripting languages such as Python Interview More ❯

experiments and prioritise features Help identify new business opportunities and measure the success of ongoing initiatives Own and evolve our analytics stack and data pipeline (e.g., Looker Studio, SQL, BigQuery, GA, Mixpanel, etc.) A little about us Our founders have successfully built and scaled fintech businesses before We've raised from top-tier VCs and leading angel investors Our More ❯

or nearby) and can maintain the 16:00-20:00 UK overlap. Bonus Points Experience selling data warehousing, analytics, or developer tooling. SQL basics or previous work with Snowflake, BigQuery, Redshift, or Databricks. More ❯

understanding of the programmatic advertising ecosystem and digital inventory management. Strong analytical skills with the ability to scrutinize large data sets accurately. Knowledge of data manipulation tools like SQL (BigQuery, MySQL) and data visualization tools (Data Studio, Tableau). Python is a plus. Experience with big data sets (billions of rows) preferred. Advanced Microsoft Excel skills. Degree in Mathematics More ❯