151 to 175 of 293 Permanent BigQuery Jobs

cloud migration and AI implementation strategies aligned with client business goals. Provide expert consultation on Google Cloud AI/ML tools, including Vertex AI, BigQuery ML, Document AI, and Natural Language AI. Facilitate discovery workshops to uncover client needs and propose innovative cloud-based AI solutions. Architect secure, scalable More ❯

GCP platforms and services. Strong understanding of core GCP services, including but not limited to Compute Engine, Cloud Storage, Kubernetes Engine (GKE), Cloud Functions, BigQuery, and Cloud SQL. Hands-on experience with Infrastructure as Code (IaC) tools, particularly Terraform . Solid experience in implementing and managing CI/CD More ❯

leading client facing meetings with key stakeholders. You’ll need to have used tools such as Google Analytics 4, Google Tag Manager, Looker Studio, BigQuery and PowerBI. Knowledge of channels such as CRO, PPC, SEO and Paid Social would be a bonus. This is one of many roles here More ❯

confident in the tool as you’ll be acting as an SME on the tool for the entire business Strong use of SQL with BigQuery Data visualisation – can be any tool e.g. Power BI, Tableau, Looker etc Strong stakeholder engagement, confident, has provided insights and recommendations Curious and commercial More ❯

will lead and manage the successful delivery of engagements to drive customer adoption of Google Cloud services, like Google Compute Engine, Google Kubernetes Engine, BigQuery, Anthos, and our AI/Machine Learning capabilities. In this role, you will regularly engage with diverse stakeholder groups, including executives of large enterprises More ❯

confident in the tool as you’ll be acting as an SME on the tool for the entire business Strong use of SQL with BigQuery Data visualisation – can be any tool e.g. Power BI, Tableau, Looker etc Strong stakeholder engagement, confident, has provided insights and recommendations Curious and commercial More ❯

new technologies. Our Tech Stack TypeScript (Full-stack) React + Next.js, Tailwind, Prisma, tRPC PostgreSQL, MongoDB, Redis Serverless, AWS, Google Cloud, Github Actions DBT, BigQuery Terraform Python Minimum Requirements Strong Python experience in building scalable backend systems. Familiarity with API design & distributed systems architecture . Experience working with event More ❯

Paid channels (currently): Meta, Google, Cold Email, testing on Linkedin, TikTok. Lifecycle/CRM: Customer.io Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. More ❯

reusable module creation. Technical Proficiency: Expertise in GCP services, Cloud Build, Cloud logging, Artifact Registry, and Client Cloud deployment. Specialized Skills: Experience with Client BigQuery, Composer, GKE, Cloud SQL, AI/ML models, IAM solutions, and scripting languages. CI/CD: Strong understanding of CI/CD pipelines in More ❯

concepts like audience segmentation, activation, and overlap Experience writing product requirements and working with JIRA, Confluence, and Slack Exposure to cloud data tools (GCP, BigQuery, AWS) Interest in advanced measurement techniques like lift testing, attribution models, or MMM Comfortable collaborating across technical and business teams More ❯

AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time zones More ❯

AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time zones More ❯

AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time zones More ❯

AI/ML fundamentals, and data platform architecture. Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. Organized, adaptable, and confident delivering training across time zones More ❯

scripts using DDL or queries using DML Good Cloud experience using Cloud SDK's. Ability to architect microservices in GCP cloud (CloudRun, GKE, CloudSQL, BigQuery etc.). Drive technical as well as functional solution discussions with customer and provide thought leadership in the area. Preferred Qualification: Understanding of implementing More ❯

quantitative field (e.g. Data Analytics, Statistics, Mathematics) At least 2 years of experience working as a Data Analyst Strong experience ( 2+ years ) with SQL , BigQuery , and Dataflow Hands-on experience ( 2+ years ) with HubSpot and Amplitude Self-starter who thrives in a fast-paced, autonomous environment Fluency in English More ❯

verbal communication skills in English Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc. - an advantage Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage GCP or Azure knowledge (DevOps/MLOps) - an advantage ML certification (AWS ML Specialty or similar) - an advantage More ❯

functions) AWS API Gateway AWS SQS AWS SNS AWS STEP Functions This role benefits from experience with: Redis GCP, and more specifically with: GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering More ❯

a similar discipline. Analyzing: Ability to make data-driven business suggestions by connecting relevant data points to clear conclusions - familiarity with Hive, Vertica, MySQL, BigQuery, Redshift. Automation: Familiarity with scripting in Python, working with APIs, and testing. Knowledge of working with n8n is a plus. Troubleshooting: Good understanding of More ❯

Dev Tools). Experience with one or more of the following is a plus: Kubernetes, Prometheus, Argo workflows, GitHub Actions, Elasticsearch/Opensearch, PostgreSQL, BigQuery, DBT data pipelines, Fastly, Storybook, Contentful, Deno, Bun. Benefits We want to give you a great work environment; contribute back to both your personal More ❯

engineering, with 3+ years in API-backed ML deployment. Strong programming language skills in Python. Significant experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch). Experience with at least More ❯

MySQL, MongoDB, Cassandra). Experience with data pipeline orchestration tools. Experience with cloud-based data platforms such as AWS, GCP, or Azure (e.g., S3, BigQuery, Azure Data Lake Storage). Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications : Additional legal knowledge as evidenced by More ❯

candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the design and development of scalable data solutions that support our … and standards for data modeling, integration, and management. Platform Design and Implementation: Architect, design, and implement data warehouse solutions using platforms like Databricks, Redshift, BigQuery, Synapse, and Snowflake. Develop scalable big data solutions using cloud data technologies and services. Ensure the data architecture supports data quality, security, and governance … performance tuning in Teradata, Oracle, and other databases. Strong experience with cloud data platforms tools and services (e.g., AWS Glue, AWS Redshift, Daataproc, Google BigQuery, Azure Synapse, ADF). Experience with data governance, security, and compliance best practices. Excellent problem-solving, analytical, and critical-thinking skills. Strong leadership, communication More ❯

About FairPlay Sports Media: We’re a sports media network focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯

About FairPlay Sports Media: We’re a sports media network focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯