51 to 75 of 125 Remote BigQuery Jobs

good. We're searching for an experienced Analytics Engineer to help us enhance our data warehouse. You'll primarily work in SQL with dbt (BigQuery) but have the opportunity to work in other programming languages, expanding your skillset and making a significant impact on our data capabilities. We're More ❯

and DAX. Knowledge of all laws relating to data. The ability to analyse data to identify exceptions/areas for attention. Knowledge of Google BigQuery, Looker and other GCP tools or desire to learn. Required Documents CV/Resume Application Process Interested and qualified candidates should kindly CLICK HERE More ❯

put you at the top of our list: Google Cloud Storage. Google Data Transfer Service. Google Dataflow (Apache Beam). Google PubSub. Google CloudRun. BigQuery or any RDBMS. Python. Debezium/Kafka. dbt (Data Build tool). Interview process Interviewing is a two way process and we want you More ❯

would put you at the top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way process and we want you to More ❯

At least 5 years of experience in data analysis with a strong focus on data extraction, analysis, and manipulation. 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: £60,000 per More ❯

clients are invoiced correctly. We are looking for someone who ideally has experience of working in a Data Team and is proficient with DBT, Bigquery and Looker. Key Responsibilities: Building new processes to map Data to billable events and KPIs, working with Data engineers to ensure this. Data Mapping More ❯

environment Enthusiastic about emerging technology and Insurtech Desirable; Experience with dbt Experience with version control software Experience within a modern cloud data warehouse, e.g. BigQuery, Snowflake, Databricks Experience working on data within Insurance and/or a B2B company About Us; We’ve combined groundbreaking AI and industry expertise 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 ❯

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 ❯

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 ❯

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 ❯

academic projects). Experience setting up CI/CD pipelines, including writing the Docker files. Experience with GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience in container management solution: Kubernetes, Docker. Experience in scripting language: Bash, PowerShell etc. Experience with Infrastructure as code: Terraform etc. Education Required More ❯

reactive environment. Knowledge of performance monitoring and query tuning. Strong communication skills. Experience working with large and complex datasets is desirable. Commercial experience with BigQuery, SQL Server, Looker, GIT and JIRA is desirable. Main Responsibilities Developing reporting solutions that process, aggregate, and reconcile vast amounts of data into highly More ❯

reactive environment. Knowledge of performance monitoring and query tuning. Strong communication skills. Experience working with large and complex datasets is desirable. Commercial experience with BigQuery, SQL Server, Looker, GIT and JIRA is desirable. Main Responsibilities Developing reporting solutions that process, aggregate, and reconcile vast amounts of data into highly More ❯

reactive environment. Knowledge of performance monitoring and query tuning. Strong communication skills. Experience working with large and complex datasets is desirable. Commercial experience with BigQuery, SQL Server, Looker, GIT and JIRA is desirable. Main Responsibilities Developing reporting solutions that process, aggregate, and reconcile vast amounts of data into highly More ❯

software engineering/information technology. Tech-savvy : Proficiency in modern data technologies (e.g., cloud platforms, big data ecosystems, AI frameworks such as Databricks, Snowflake, BigQuery, Microsoft Fabric or similar. All-rounder : Strong knowledge of key CDO/CAIO areas such as AI/Data Governance/Quality/Management More ❯

software engineering/information technology. Tech-savvy : Proficiency in modern data technologies (e.g., cloud platforms, big data ecosystems, AI frameworks such as Databricks, Snowflake, BigQuery, Microsoft Fabric or similar. All-rounder : Strong knowledge of key CDO/CAIO areas such as AI/Data Governance/Quality/Management More ❯

expertise, ensuring adherence to SLAs, contract terms, and efficient issue resolution. Have strong technical knowledge, with familiarity in hospitality technologies, Python, REST API, SQL, BigQuery, and Looker. Demonstrate exceptional communication and presentation skills, effectively conveying technical and operational insights to customers and internal teams. Are data-driven, leveraging KPIs More ❯

Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file More ❯

Tech stack We're pragmatic about our technology choices. These are some of the things we use now: TypeScript, React, styled-components Python ️PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest ️ AWS, GCP ECS Fargate, Docker, Terraform, GitHub Actions How we expect you to work We expect you More ❯

client needs, and delivering impactful technical presentations and solutions. Key Responsibilities: Technical Expertise: Deep knowledge of Google Cloud Platform (GCP) services (Compute Engine, Kubernetes, BigQuery, etc.). Ability to explain complex technical concepts to both technical and non-technical audiences. Expertise in cloud computing concepts (IaaS, PaaS, SaaS, serverless More ❯