51 to 75 of 262 Remote/Hybrid BigQuery Jobs

throughout the sales cycle. This is a full‐time remote position based out of United Kingdom. Technologies You’ll Use AWS GCP Azure Snowflake BigQuery Databricks New Relic Linux Windows Python Java What You’ll Do Work with Enterprise customers to understand their business, use cases, and data replication ...

consider hardest to buy: translating how the business works into models and numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across systems. ...

Data Governance and Data Classification policies.Maintain data dictionary.Maintain business level data model.Recommending and introducing new technology where needed.Core:Cloud data platforms (e.g. Snowflake, BigQuery, Redshift)Data transformation technology such as DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift)Data transformation technology such as DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/ ...

it. Confident SQL. Handed an unfamiliar schema, you can get to a defensible answer without help. Hands‐on with a modern warehouse (Snowflake, BigQuery, Redshift or similar) and a transformation layer (dbt or equivalent). You've written and maintained the models, not just commissioned them. Hands‐on with ...

visualisation experience (Looker Studio, Power BI, or similar) Strong stakeholder communication skills Excellent problem-solving and analytical skills Nice to have Adobe Analytics BigQuery/SQL experience App analytics experience Product analytics tools such as Mixpanel Insurance, financial services, or digital product environments Why join? Work on both website ...

Google Cloud Storage preferred) Support PyTorch-based workflows, particularly around data loading and dataset management in the cloud Build and optimise data integrations with BigQuery and SQL databases Ensure efficient memory usage and performance when handling large datasets Collaborate with ML engineers to support training and experimentation pipelines (without ...

these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore how we use analytics and Data Science in our Engineering ...

Bring4+ years of professional experience building and shipping production-quality software.Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).Solid grounding in at least one of Java or Python, and willingness to be effective in both.A genuine DevOps mindset: comfortable owning ...

other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/Revenue ...

expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive ...

PlatformYou have two or more Google Cloud Professional Certifications:Cloud ArchitectData EngineerDatabase EngineerMachine Learning EngineerYou have extensive, hands-on experience with Data Lakes, ETL, BigQuery, Cloud Composer, Dataflow, Dataproc, Cloud SQL, BigTable, Spanner, etc You speak English as the main languageYou are entitled to work (and live ...

Engineer certification. Technical Skills GCP Stack (Mandatory): AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE) Gemini Enterprise, Agent Platform (formerly Vertex AI) BigQuery, Cloud Run, Vertex AI Pipelines Programming: Advanced Python skills including data structures, algorithms, and software design patterns. Agentic AI: Hands-on experience with AI Agents ...

heavily on the following tools and technologies, although we do not expect applicants to have prior experience of all of them: Google Cloud Platform BigQuery SQL and dbt Python and the PyData stack Google AI Platform AWS Python for ML services Go for backend services AI tooling for productivity ...

statistical programming languages, especially Python and/or R, for data analysis. Experience using cloud-based computing environments (Google Cloud Platform/Google BigQuery is advantageous), demonstrating proficiency in utilising cloud resources for data analytics and ensuring seamless integration of data pipelines and analytics platforms. Demonstrable experience collaborating with ...

candidate will demonstrate expert proficiency in Google Cloud Platform’s (GCP) latest ML/AI tooling, including, but not limited to: Vertex AI BigQuery Gemini APIs The candidate will also work closely with our Lead Data Scientist in developing and maintaining the team’s API service which delivers real ...

tech media planning and activation solutions.You will need to be familiar with howAPIs are configured. You will need to have strong experience with usingGoogle BigQuery, and working with the widerGoogle Marketing Platform stack, including familiarity with Google Analytics data, and will have experience integrating other 3rd party technologies ...

advanced experimentation techniquesAdvanced Technical Toolkit: Expert-level SQL is a baseline. You should have experience with large-scale data environments [ e.g. Snowflake, Databricks or BigQuery], visualization tools (e.g. Tableau) and digital analytics [e.g. Amplitude, Adobe or Google Analytics]Trusted Advisor Exceptional ability to "translate" technical findings for C-suite ...

leadership role, combining technical architecture, delivery, and team mentorship. Key Skills: Strong experience in a Lead/Senior Data Engineering role Expertise with GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Airflow) Advanced Python and SQL Experience building scalable batch and real-time data pipelines Strong data modelling ...

environment. 1–2+ years of experience in a data analyst, BI analyst, or data-related role (internships and project work count) Solid SQL skills (BigQuery experience is a plus) Familiarity with Python or R for data analysis Experience building dashboards or visualisations (e.g., Looker, Grafana, Tableau) Understanding of basic ...

commercial, IT, and network-related domains from strategy through execution. Experience designing and scaling modern cloud-based data platforms, including technologies such as GCP, BigQuery, Dataflow, Dataproc, Azure, AWS, or equivalent solutions. Strong understanding of modern data architectures, including data lakes, lakehouse architectures, streaming platforms, real-time processing ...

commercial, IT, and network-related domains from strategy through execution. Experience designing and scaling modern cloud-based data platforms , including technologies such as GCP, BigQuery, Dataflow, Dataproc, Azure, AWS, or equivalent solutions. Strong understanding of modern data architectures , including data lakes, lakehouse architectures, streaming platforms, real-time processing ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse) Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines) MLOps — model deployment, monitoring, and retraining in production Experience building ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent)DesirableMaster’s or PhD in a quantitative fieldCloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse)Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines)MLOps — model deployment, monitoring, and retraining in productionExperience building propensity or scoring ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent)DesirableMaster’s or PhD in a quantitative fieldCloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse)Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines)MLOps — model deployment, monitoring, and retraining in productionExperience building propensity or scoring ...