1 to 25 of 120 BigQuery Jobs in the South East

in Python or similar scripting language for test automation Experience with cloud platforms (AWS, GCP, or Azure), especially in data-related services Familiarity with data warehousing concepts (e.g., Snowflake, BigQuery, Redshift) Strong understanding of data governance, data profiling, and quality metrics Excellent problem-solving and communication skills Ability to work independently and as part of a distributed team Nice More ❯

familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO More ❯

familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery) Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO More ❯

more junior members of staff. Required Skills & Experience: Proven experience as a Data Engineer in a commercial environment. Strong hands-on experience with Google Cloud Platform (GCP) services (e.g., BigQuery, Dataflow, Pub/Sub). Solid understanding of Azure data services and hybrid cloud environments. Advanced SQL skills and proficiency in Python for data engineering tasks. Experience working in More ❯

Cloud (GCP) on major data or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with More ❯

to vendor surveillance products Core Skills & Experience Proven hands-on experience with Google Cloud Platform (GCP) and components such as Dataflow, Pub/Sub, Cloud Storage Deep expertise in BigQuery and Big Data processing Strong programming skills in Python or Java used extensively in surveillance data integration Solid SQL expertise for querying, transforming, and troubleshooting data Experience building robust More ❯

the market. Your role will include: Enterprise Architecture & Delivery: Spearhead the design and implementation of scalable data ecosystems-spanning data lakes, lakehouses, and warehouses-leveraging platforms such as GCP, BigQuery Snowflake, Synapse, or Microsoft Fabric. Cloud Transformation Strategy: Lead cloud adoption and modernization initiatives across GCP, utilizing infrastructure-as-code (e.g., Terraform), CI/CD automation (e.g., Azure DevOps …/Studio, ensuring models are optimized for performance, scalability, and long-term maintainability. Data Integration & Pipeline Engineering: Design and implement resilient ETL/ELT workflows using technologies such as BigQuery, Dataflow, Informatica, or IBM DataStage, supporting both real-time and batch data processing. Governance & Data Quality Management: Establish comprehensive data governance frameworks, including metadata management and quality assurance, using More ❯

each use case Support knowledge sharing and technical best practice Essential Experience: Proven expertise in building data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

Key Requirements 5+ years of experience in DevOps , Site Reliability Engineering , or Data Engineering roles. Deep expertise with AWS and GCP , including services like EC2, S3, Lambda, IAM, GKE, BigQuery, and more. Strong proficiency in infrastructure-as-code tools (e.g., Terraform , Pulumi , CloudFormation ). Extensive hands-on experience with Docker , Kubernetes , and CI/CD tools such as GitHub More ❯

client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless More ❯

are assigned to you, including tasks such as: Configuring and implementing cloud and database infrastructure to an architecture design provided to you using tools such as Google Cloud, Google BigQuery and Google Cloud SQL Transforming and modeling data into consumable information and business logic using tools such as dbt, Dataform and Cube Developing dashboards, explorations and data visualisations using … data engineering with business goals. What We're Looking For Must Haves Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data More ❯

mandatory. Interest or experience in AI products. Your responsibilities: Extract and integrate data from various sources based on stakeholder needs. Consolidate data on platforms like dbt, Sigma, Census, Gravity, BigQuery for visualization. Manage the entire ETL cycle within our tech stack. Define and monitor KPIs, maintain documentation, and ensure data governance. Collaborate with the Analytics Team to enhance digital More ❯

LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows. Strong … NumPy), machine learning, PI development (Flask/FastAPI), and writing clean, maintainable code. SQL: Expertise in querying, database design/optimization, stored procedures, functions, partitioning/clustering strategies for BigQuery tables. LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/… analytics, BigQuery ML for in-database machine learning, query optimization techniques. Google Cloud Storage (GCS): Experience with data lake management, storage/retrieval processes, lifecycle management. Desirable ITIL Foundation in IT Service Management Scrum/Agile qualifications If you are an experienced AI Engineer Engineer and feel you have the desired skills and experience which would enable you to More ❯

automating analytics workflows. Designing and refining prompts to improve LLM performance in structured data querying and other business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising … LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/… performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. More ❯

automating analytics workflows Designing and refining prompts to improve LLM performance in structured data querying and other business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability Evaluating LLM performance, optimising … LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics MLOps/LLMOps Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/… performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices More ❯

expertise in implementing enterprise-grade security, data governance frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales … in AWS, Azure, or GCP is required for cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales teams Certifications More ❯

expertise in implementing enterprise-grade security, data governance frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales … in AWS, Azure, or GCP is required for cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales teams Certifications More ❯

expertise in implementing enterprise-grade security, data governance frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales … in AWS, Azure, or GCP is required for cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales teams Certifications More ❯

expertise in implementing enterprise-grade security, data governance frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales … in AWS, Azure, or GCP is required for cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales teams Certifications More ❯