101 to 125 of 303 BigQuery Jobs

media landscapes. Strong track record of managing client or stakeholder relationships. Able to explain technical concepts in simple, business-friendly language. Skilled in SQL, BigQuery or similar, with Python or JavaScript as a plus. Experience applying statistical techniques to business problems Degree (or equivalent) in a statistics-based subject More ❯

media landscapes. Strong track record of managing client or stakeholder relationships. Able to explain technical concepts in simple, business-friendly language. Skilled in SQL, BigQuery or similar, with Python or JavaScript as a plus. Experience applying statistical techniques to business problems Degree (or equivalent) in a statistics-based subject More ❯

management skills. Desirable Exposure to BI/visualisation tools such as Power BI, Looker, or Tableau. Familiarity with cloud-based data platforms (e.g. AWS, BigQuery, Snowflake). Understanding of API integrations and automated data syncing. Knowledge of inventory forecasting or supply chain data structures. The Role This is a More ❯

Proven experience with integrating and automating business workflows, including data-driven processes and system integrations. Familiarity with analytics platforms and tools such as GCP (BigQuery), AWS (Glue, Athena), or Azure Databricks. Proficiency in Python or .NET, with experience in both or the ability to quickly learn new technologies. Experience More ❯

Proven experience with integrating and automating business workflows, including data-driven processes and system integrations. Familiarity with analytics platforms and tools such as GCP (BigQuery), AWS (Glue, Athena), or Azure Databricks. Proficiency in Python or .NET, with experience in both or the ability to quickly learn new technologies. Experience More ❯

solutions • In depth knowledge of the Snowflake platform and capabilities • Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous • Practical knowledge of GenAI and LLM offerings in the market • Skilled in working on large More ❯

implement solutions 4+ years in typescript/javascript and JVM programming language (e.g. Scala, other) 4+ years in persistence technologies: SQL, Databricks, Snowflake, Elastic, BigQuery, Graph Experience with ETL tools and data processing pipelines: Apache Spark Experience with SaaS and CSP provided technologies: Kubernetes, GCP, AWS Experience integrating COTS More ❯

solutions In depth knowledge of the Snowflake platform and capabilities Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on large More ❯

solutions In depth knowledge of the Snowflake platform and capabilities Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on large More ❯

problems and seeing a talented team operating at a high velocity Our Tech Stack; Data Engineering Python GCP (Cloud Functions, Workflows, CloudSQL, Cloud Storage, BigQuery, ) DBT Data Science Python (polars, scikit-learn, ) CI/CD GitHub Actions Terraform Data Engineering at Ravio in 2025 This is a key data More ❯

expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You You More ❯

re pragmatic about our technology choices. These are some of the things we use at the moment: TypeScript, React, styled-components Python, NodeJS ️ PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest ️ AWS, GCP Kubernetes, Docker, Terraform, GitHub, CircleCI How we expect you to work ️ We expect you to More ❯

AWS EMR and PySpark to generate real-time (fast-moving) features for the feature store. Develop and maintain batch processing pipelines using DBT and BigQuery to generate batch (slow-moving) features, ensuring data quality, consistency and reliability. Work with Feast feature store, manage feature life cycle and maintain data More ❯

The tech stack includes: Infrastructure: Google Cloud Backend: Python for internal API codebase, running on a Postgres database hosted with Google Cloud SQL Data: BigQuery, DBT, and Tableau Frontend: Typescript and React Mobile/Apps: Flutter What’s on Offer Generous time off. Equity package. Comprehensive health coverage. Pension More ❯

The tech stack includes: Infrastructure: Google Cloud Backend: Python for internal API codebase, running on a Postgres database hosted with Google Cloud SQL Data: BigQuery, DBT, and Tableau Frontend: Typescript and React Mobile/Apps: Flutter What’s on Offer Generous time off. Equity package. Comprehensive health coverage. Pension More ❯

data processing Requirements: Basics 3+ years of experience in technical support or project management, preferably with GCP environments Understanding of Google Cloud services including BigQuery, Workflows, Batch, Dataproc, Dataflow, Cloud Run, and GCS Familiarity with HPC concepts including job schedulers (e.g., Slurm, LSF), parallel computing frameworks, and compute cluster More ❯

role, ideally in retail or fashion. Strong commercial awareness and ability to work cross-functionally with non-technical teams. Hands-on experience with SQL (BigQuery ideally), plus Looker Studio or similar BI tools. Confident communicator, comfortable presenting to senior stakeholders and influencing decisions. Experience with tools like Fospha, ContentSquare More ❯

role, ideally in retail or fashion. Strong commercial awareness and ability to work cross-functionally with non-technical teams. Hands-on experience with SQL (BigQuery ideally), plus Looker Studio or similar BI tools. Confident communicator, comfortable presenting to senior stakeholders and influencing decisions. Experience with tools like Fospha, ContentSquare More ❯

development. Write precise, structured product requirements and prioritise effectively. Track adoption, usage, and performance of insights tools and iterate as needed. Tech Stack: Google BigQuery - primary data warehouse Looker Studio - internal dashboards Next.js - customer-facing front-end application framework AWS Amplify - for building, deploying and hosting the front-end More ❯

our data models to answer multiple business needs through collaboration with data engineers Nice to haves Experience with Looker/ThoughtSpot Experience with Google BigQuery Experience with Mobile Measurement Platforms Why join Muzz? We're a profitable Consumer Tech startup, backed by Y Combinator (S17) and based in London More ❯

data architecture and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or More ❯

data architecture and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or More ❯

ability to develop data-driven hypotheses. Data Science Knowledge : Familiarity with concepts like clustering, predictive modelling, and basic statistical techniques. Technical Skills : Knowledge of BigQuery/SQL/Python is desirable but not essential. Strong communication skills - experience presenting to clients and collaborating with internal teams. Experience working with More ❯

concept to full deployment. Cloud Computing : Experience working with cloud platforms (AWS, Azure, GCP) for deploying AI solutions, including familiarity with data platforms like BigQuery, Databricks or Snowflake. Business Acumen : Ability to translate technical AI concepts into clear business outcomes, advising clients on strategies to harness AI for growth. More ❯

or GCP. Experience with Terraform to define and manage cloud infrastructure through code. Desirables: Experience in SQL-based transformation workflows, particularly using DBT in BigQuery Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). Exposure to Data management and Linux admisntration Interview More ❯