401 to 425 of 508 Permanent BigQuery Jobs

Docker, GKE, and Cloud Run, alongside production‐grade CI/CD pipelines Design, build, and maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer Implement and support AI/ML platforms on Google Cloud, including Vertex AI, Model Garden … VPCs, IAM, firewall rules, encryption, and access management within GCP Working knowledge of data engineering on Google Cloud, including pipelines and analytical platforms using BigQuery, Composer, Dataflow, Dataproc, and Pub/Sub Familiarity with AI/ML workloads on GCP, including exposure to Vertex AI, BigQuery ML, Model ...

deliver modern analytics solutions while acting as a trusted consultant throughout the project lifecycle.Responsibilities include: Delivering analytics and data engineering solutions using Google Cloud, BigQuery, dbt and Looker Designing scalable data models, semantic layers and reporting environments Leading technical discussions and workshops with client stakeholders Advising on analytics strategy … Experience To be successful in this Senior Analytics Consultant role, you will have: Strong commercial experience with Google Cloud Platform (GCP) Proven expertise in BigQuery, dbt and Looker Previous consulting or client-facing project delivery experience Excellent SQL and data modelling skills Experience building modern analytics and reporting solutions ...

platform reliable and cost-efficient. Partner with data engineering to design and optimise data pipelines, data stores and large-scale analytics infrastructure such as BigQuery, including query, cost and performance tuning. Mentor engineers, set technical direction and champion strong platform and security engineering standards across the organisation. What … . Significant data engineering experience: designing and operating data pipelines and data stores, and optimising databases and large-scale data infrastructure such as BigQuery (including query, cost and performance tuning). Experience preparing environments for autonomous/agentic workloads ‐ sandboxes, scoped machine identities, approval workflows and audit trails. Experience ...

/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning … 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 ...

/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning … 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 ...

/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning … 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 ...

/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning … 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 ...

/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning … 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 ...

/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning … 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 ...

/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning … 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 ...

data strategy and deliver real business impact. The Role Build and maintain end-to-end data pipelines Develop scalable data models using dbt and BigQuery Create Python-based ingestion and automation processes Build dashboards and reporting solutions for business stakeholders Partner with product, engineering, marketing, and commercial teams Improve … quality, performance, and scalability across the platform Your Skills & Experience Strong experience in Analytics Engineering or Data Engineering Hands-on experience with GCP, particularly BigQuery Strong dbt, SQL, and Python skills Experience building BI dashboards and reporting solutions Familiarity with Git and modern development practices Strong communication and stakeholder ...

data strategy and deliver real business impact. The Role Build and maintain end-to-end data pipelines Develop scalable data models using dbt and BigQuery Create Python-based ingestion and automation processes Build dashboards and reporting solutions for business stakeholders Partner with product, engineering, marketing, and commercial teams Improve … quality, performance, and scalability across the platform Your Skills & Experience Strong experience in Analytics Engineering or Data Engineering Hands-on experience with GCP, particularly BigQuery Strong dbt, SQL, and Python skills Experience building BI dashboards and reporting solutions Familiarity with Git and modern development practices Strong communication and stakeholder ...

across all three domains – ensuring shared attributes are handled uniformly and that data can be reliably joined across domains Lead the evolution of our BigQuery/GCP platform – driving migrations, modernising legacy pipelines, and building for scalability Make key architectural decisions and be accountable for the technical quality … culture of engineering excellence, collaboration and continuous improvement What skills and experience do I need for this role? Hands‐on, expert‐level experience with BigQuery and GCP – this is non‐negotiable; you must have built and operated production data pipelines on this stack Strong Python skills – used daily ...

Nextlink is seeking a highly skilled and experienced Data Analyst to join our team. The ideal candidate will possess strong expertise in SQL, Google BigQuery, data modeling, GIS data analysis, and telecommunications domain knowledge . This role requires a self-driven professional who can perform complex analytical investigations, design … Architecture, to analytical solutions. Develop, enhance, and maintain interactive dashboards and reports using Tableau and/or Looker . Integrate reporting solutions with Google BigQuery and other enterprise data sources. Ensure dashboard accuracy, usability, and alignment with business KPIs. Data Platform & Engineering Collaboration Partner with data engineering teams ...

Manager to own the systems, data and AI infrastructure powering the revenue engine across our 32Co verticals. You'll own the RevOps stack - HubSpot, BigQuery, Metabase, Attention, Aircall and Claude - and help evolve it as we scale. A core part is analysing where we can improve and building with ...

validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort. Preferred Skills and Experience Strong Google BigQuery experience. Advanced SQL development skills, including complex queries, stored procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions … tooling, such as Claude Code. What you will be doing Developing and maintaining regulatory data submission systems across on-premise SQL Server and GCP BigQuery platforms. Building automated pipelines for ingesting, transforming and loading regulatory data. Supporting the migration of legacy reporting solutions to BigQuery through data modelling ...

validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort. Preferred Skills and Experience Strong Google BigQuery experience. Advanced SQL development skills, including complex queries, stored procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions … tooling, such as Claude Code. What you will be doing Developing and maintaining regulatory data submission systems across on-premise SQL Server and GCP BigQuery platforms. Building automated pipelines for ingesting, transforming and loading regulatory data. Supporting the migration of legacy reporting solutions to BigQuery through data modelling ...

expertise in designing, architecting, and delivering enterprise-scale data platforms on Google Cloud Platform (GCP). The ideal candidate will have extensive experience with BigQuery, cloud data migration, data warehousing, and analytics solutions while working closely with client stakeholders to define architecture and drive successful delivery. Key Responsibilities Design … implement scalable, secure, and high-performance data architectures on GCP, with BigQuery as the core data warehouse. Define end-to-end data architecture, including ingestion, transformation, storage, governance, and reporting. Lead migration of Legacy data warehouses and ETL workloads to GCP and BigQuery. Design optimized BigQuery schemas, partitioning ...

modelling, pipeline development, validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort. Qualifications Strong Google BigQuery experience. Advanced SQL development skills, including complex queries, stored procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions … assisted development tooling, such as Claude Code. Additional Information Developing and maintaining regulatory data submission systems across on-premise SQL Server and GCP BigQuery platforms. Building automated pipelines for ingesting, transforming and loading regulatory data. Supporting the migration of legacy reporting solutions to BigQuery through data modelling ...

modelling, pipeline development, validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort. Qualifications Strong Google BigQuery experience. Advanced SQL development skills, including complex queries, stored procedures and performance tuning. Working knowledge of GCP services such as Cloud Storage, Cloud Functions … assisted development tooling, such as Claude Code. Additional Information Developing and maintaining regulatory data submission systems across on-premise SQL Server and GCP BigQuery platforms. Building automated pipelines for ingesting, transforming and loading regulatory data. Supporting the migration of legacy reporting solutions to BigQuery through data modelling ...

Must have full UK working rights, no sponsorship offered If you're a Analytics Engineering Consultant with strong expertise across Google Cloud, BigQuery, dbt and Looker, this is an opportunity to join a specialist data consultancy delivering high-impact analytics transformation projects. You'll work closely with clients, lead … discovery through to delivery, combining hands-on technical expertise with stakeholder management and consulting skills.Responsibilities include: Designing and delivering analytics solutions using Google Cloud, BigQuery, dbt and Looker Building scalable data models, semantic layers and analytics architectures Leading client workshops, requirements gathering sessions and technical discussions Advising stakeholders ...

consulting responsibilities within a highly collaborative environment. ROLES AND RESPONSIBILITIES: The Senior Analytics Engineering Consultant will: Design and deliver analytics solutions using Google Cloud, BigQuery, dbt and Looker Build scalable data models, semantic layers and modern reporting environments Lead client workshops, discovery sessions and requirements gathering activities Manage multiple … analytics engineering and modern data platforms YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Google Cloud Platform (GCP) BigQuery dbt Looker SQL and data modelling Git, version control and CI/CD practices Analytics engineering and modern data platform delivery Client-facing consulting ...

observability and evaluation.**Preferred Certifications*** Google Cloud AI/ML or Vertex AI certification.* Azure AI Engineer or AWS Machine Learning certification.* Databricks, BigQuery, or data engineering certification.* Kubernetes certification.* TM Forum Autonomous Networks or Open API certification.**Nice-to-Have Qualifications*** Experience with Google Vertex AI, Gemini APIs … BigQuery, or equivalent platforms.* Experience with telecom network data including RAN, Core, IP/MPLS, SD-WAN, OSS, alarms, KPIs, and inventory.* Experience developing LLM agents for network operations, incident management, or service assurance.* Experience with AI model optimisation, inference cost reduction, latency optimisation, and scalable AI serving.If ...

/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). **MLOps/LLMOps Pipelines:** Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning … 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 ...

Strong Kafka/event-driven architecture experience Experience working within large-scale enterprise environments Exposure to AI/LLM and RAG solutions Experience with BigQuery, vector databases, graph technologies or enterprise search would be beneficial This is an excellent opportunity to work on a major enterprise programme … Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/ETL/ELT/Data Pipelines/BigQuery/Vector Databases/Enterprise Search/Data Engineering/Enterprise Data #J-18808-Ljbffr ...