201 to 225 of 263 Remote/Hybrid BigQuery Jobs

social contribution.• Excellent SQL skills• Understanding of data warehousing, data modelling concepts and structuring new data tables• Knowledge of cloud-based data warehousing (Google BigQuery)• Experience developing in a BI tool (Power BI or similar)• Python or R proficiency, particularly in areas of automation and integrationsCanon Core Behaviours• Drive … maintain collections of sophisticated data pipelines, models and visualisations that integrate marketing and sales data with other internal and external data sources in Google BigQuery and Power BI to support Canon’s ITCG marketing, ecommerce and CRM team initiatives.Perform exploratory analysis using Python/R and SQL to uncover ...

models and ensuring that transformed data is accessible where it’s needed most. Key Responsibilities Ownership of the Modern Data Stack (dbt & BigQuery) Act as a lead developer for our dbt project. Build performant, modular, and well-tested models that turn data into a reliable “Source of Truth.” Apply … environment (Analytics Engineer, Data Engineer, or Technical Data Analyst). Modern Data Stack Specialist: Deep, practical knowledge of dbt and cloud warehouses (we use BigQuery, but the experience is very transferrable). Expert-level SQL: You write complex, clean, and performant queries. Python Literacy: Not a software developer ...

Senior Analytics Consultant (Google Cloud, BigQuery, dbt & Looker) £70,000-£90,000 + Quarterly Bonus + Commission Fully Remote (UK) | Quarterly Brighton Meetups I'm hiring a Senior Analytics Consultant for one of the UK's leading specialist modern data consultancies. This is an opportunity to join a highly … Solution architecture Technical leadership Stakeholder management You'll work across multiple client engagements, helping organisations design and implement modern analytics capabilities using: Google Cloud BigQuery dbt Looker while acting as a trusted advisor rather than simply delivering technical tasks. What you'll be doing Client Delivery Design and implement ...

scalable services. You will focus on real-time stream processing, cloud infrastructure, system integration and release automation, leveraging Golang, Kafka, Flink, GCP, Spanner and BigQuery to deliver a high-performance platform. #J-18808-Ljbffr ...

data analyst or data-focused role.Strong analytical and problem-solving skills. You turn data into decisions.Hands-on data skills with SQL/BigQuery and/or Python. You don't need to be an expert, but you'll need to be comfortable extracting, compiling, querying data and presenting insights.Clear ...

Define data and measurement requirements for website developments, campaigns and digital projects. Develop and maintain Power BI dashboards and reports for key stakeholders. Use BigQuery, SQL and integrated data sources to carry out detailed customer and commercial analysis. Monitor data quality, investigate anomalies and resolve tracking or reporting issues. … Google Analytics 4 (GA4), including ecommerce reporting and measurement. Strong experience with Google Tag Manager (GTM) and digital tracking implementation. Advanced knowledge of Google BigQuery and SQL for analysing large datasets. Advanced Power BI skills, including dashboard development, data modelling and stakeholder reporting. Experience working in an ecommerce ...

Google Cloud Platform (GCP).Hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment … positioned to drive measurable client outcomes.Experience with GCP billing, cost management, and optimisationExposure to data engineering or analytics workloads on GCP, such as Dataflow, BigQuery, or Pub/Sub, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams.Ability, and willingness to, undergo ...

Google Cloud Platform (GCP).Hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment … positioned to drive measurable client outcomes.Experience with GCP billing, cost management, and optimisationExposure to data engineering or analytics workloads on GCP, such as Dataflow, BigQuery, or Pub/Sub, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams.Ability, and willingness to, undergo ...

Google Cloud Platform (GCP).Hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment … positioned to drive measurable client outcomes.Experience with GCP billing, cost management, and optimisationExposure to data engineering or analytics workloads on GCP, such as Dataflow, BigQuery, or Pub/Sub, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams.Ability, and willingness to, undergo ...

Google Cloud Platform (GCP).Hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment … positioned to drive measurable client outcomes.Experience with GCP billing, cost management, and optimisationExposure to data engineering or analytics workloads on GCP, such as Dataflow, BigQuery, or Pub/Sub, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams.Ability, and willingness to, undergo ...

Google Cloud Platform (GCP).Hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment … positioned to drive measurable client outcomes.Experience with GCP billing, cost management, and optimisationExposure to data engineering or analytics workloads on GCP, such as Dataflow, BigQuery, or Pub/Sub, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams.Ability, and willingness to, undergo ...

Google Cloud Platform (GCP).Hands-on experience with Google Cloud Platform, including practical delivery across core services such as Compute Engine, GKE, Cloud SQL, BigQuery, Cloud Storage, VPC, IAM, Cloud Functions, and Cloud Run.Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment … positioned to drive measurable client outcomes.Experience with GCP billing, cost management, and optimisationExposure to data engineering or analytics workloads on GCP, such as Dataflow, BigQuery, or Pub/Sub, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams.Ability, and willingness to, undergo ...

based fintech, seeks a Data Analyst to empower our Data team with insights that improve products for millions of families. You will work with BigQuery, Dataform, Tableau, Amplitude, and Monte Carlo to build robust data models and semantic layers. You’ll partner with Product and Engineering to design experiments ...

Reference: BBBH3776_1776778489GCP Data Engineer (BigQuery/Dataflow)Salary: Up to 85,000 + Bonus + Benefits Location: London - Hybrid (3 days per week onsite) Working Hours: 40 hours per week - Full time Job Type: Permanent A globally established organisation is seeking an experienced GCP Data Engineer to help … Data Engineer: Design and build scalable data pipelines, ETL/ELT workflows and cloud data architectures on GCP Develop solutions using services such as BigQuery, Dataflow, Spanner and Cloud Storage Build and maintain code using Python, Java or Scala for data transformation and processing Optimise data pipelines, queries ...

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 ...

/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 ...

data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.Key Responsibilities: Develop, test … build end-to-end ML pipelines, including data, features, training, and servingMake technical decisions considering cost, latency, complexity, and maintainability Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutionsSet up monitoring, A/B testing, and metrics frameworks to measure real user impactDebug complex issues across ...

numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards.Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers.Be the embedded analytical partner to the newsroom. Work directly … SaaS or fintech, owning analysis end-to-end and driving real decisions.Expert SQL for complex analysis, optimisation and reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs.Modern BI with an integrated semantic layer — building self-serve dashboards and owning metric ...