76 to 100 of 262 Remote/Hybrid BigQuery Jobs

with messy, incomplete or evolving datasets and turning them into reliable assets for downstream users Experience with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake, Redshift or similar would be beneficial Experience with version control systems (preferably GitLab) and working with tools such as JIRA & Confluence Experience working ...

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) 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 ...

into logical, step-by-step tasks.Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery).Strong track record of innovation and problem-solving to find creative technical solutions to new and unforeseen business problems.Ability to travel to support deployments ...

cloud platforms (Azure, AWS, GCP)Implement and manage data tools such as:Azure Data Factory/Synapse/DatabricksAWS Glue/Redshift/EMRGoogle BigQuery/DataflowEnsure systems are secure, scalable, and cost-efficientData Pipeline & Workflow ManagementDevelop orchestration workflows (e.g., Airflow, Prefect, Azure Data Factory)Monitor and troubleshoot pipelines … Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with:Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/CD pipelinesInfrastructure ...

development. Ability to manage competing priorities and collaborate effectively across multiple teams. Experience presenting recommendations to both technical and non-technical stakeholders. SQL and BigQuery experience would be advantageous. What They Offer Competitive salary. Hybrid working in Manchester. Exposure to a broad range of digital analytics, optimisation and product ...

teams . App or product analytics experience would be advantageous. Looker/Looker Studio or Power BI experience is beneficial. SQL/BigQuery is a bonus but not essential . You don't need to be a specialist in every part of the Google ecosystem - they're looking ...

abilities Highly organised with the ability to manage competing priorities Proactive approach to learning and continuous development Desirable Experience working with SQL Exposure to BigQuery Experience supporting digital product development or experimentation programmes Benefits Competitive salary and performance-related bonus Hybrid working model Generous annual leave allowance Pension scheme ...

Demand Gen, or AI-generated ad copy and search theme controlsAbility to write your own SQL against a data warehouse such as Snowflake or BigQuery & familiarity with CRM &marketing automation data — Salesforce in particular — and how the marketing-to-sales handoff actually works.Benefits and Perks5 weeks paid vacationPrivate health ...

consent posture - and turn them into roadmaps the engineering team can build against Direct our implementation engineers across GA4, GTM (web and server-side), BigQuery, CMP, Enhanced Conversions, and Meta CAPI; review their output, unblock decisions, and sign off on releases Partner with our media experts to turn measurement ...

with an absolute focus on writing clean, modular, and highly testable code; SQL: Expert querying, database design, partitioning, and optimization strategies for large‐scale BigQuery environments Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer/Cloud AI Engineer Degree Qualification or Equivalent ...

customer-facing AI applications. Experience working with cloud platforms such as Google Cloud Platform (GCP), including exposure to services such as Vertex AI, BigQuery and Kubernetes.Understanding of CI/CD, version control and software delivery best practices.Ability to collaborate effectively within multidisciplinary teams and contribute throughout the software development ...

your MVP. + Internal User Parity: The SDK must provide a 'single front door' for internal users, allowing them to 'pip install' and access BigQuery datasets through the same idiomatic Python patterns designed for customers. + Release Open-Source SDKs: Develop and maintain a suite of SDKs in popular ...

sustain scalable data infrastructure powering its travel platform. You will develop production-grade ETL/ELT pipelines, data models, and governance across Snowflake, BigQuery, and Hive while writing Java and Python and collaborating with global teams. You’ll work on streaming and batch systems (Flink/Spark/Kafka ...

8+ years in Data Analytics, Data Science, or similar Advanced SQL and strong data modelling experience Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift, Postgres) Experience working with cross-functional stakeholders Strong communication skills with ability to translate data into business insights Desirable Fintech or financial services experience ...

Cost Optimization : Establish a value-driven FinOps framework in collaboration with engineering, finance, and business teams. Qualifications: Familiarity with GCP data and analytics services (BigQuery, Dataflow, Pub/Sub, IAM, monitoring). Familiarity with Databricks and/or Snowflake in federated enterprise environments. Strong understanding of modern data architectures ...

data models and features.Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with ...

features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with ...

models and features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with ...

Platform Engineering DevOps and CI/CD Production‐grade cloud environments Cloud security and governance Monitoring and observability Data platforms and data‐intensive applications BigQuery Python and SQL APIs and data integration Authentication and access management, including OAuth/OIDC Most importantly, we’re looking for someone ...

buildsDeep expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.Demonstrable experience with AI/ML services on Google Cloud, with an excellent understanding ...

buildsDeep expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.Demonstrable experience with AI/ML services on Google Cloud, with an excellent understanding ...

buildsDeep expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.Demonstrable experience with AI/ML services on Google Cloud, with an excellent understanding ...

buildsDeep expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.Demonstrable experience with AI/ML services on Google Cloud, with an excellent understanding ...

buildsDeep expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.Demonstrable experience with AI/ML services on Google Cloud, with an excellent understanding ...