126 to 150 of 263 Remote/Hybrid BigQuery Jobs

architectures Experience of real-time, low-latency transaction-based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within ...

from analytics platforms (e.g. GA4, Adobe Analytics) and delivering insights that drive measurable business outcomes in a fast-paced environment Proficient in SQL and BigQuery, with experience using data visualisation tools (we use Looker Studio and Tableau); Python is a plus but not essential Deep understanding of key eCommerce ...

leading cloud-based data platforms and production-grade data workflowsWorking with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similarEvent-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environmentsDesigning reliable, observable ...

spend, storage strategies, or job efficiency, and treat compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able ...

Drive performance through data and analytics – Confidence going deep into collections data yourself, with proficiency in Looker and spreadsheet management required and SQL or BigQuery a strong advantage. This is core to the role, not something to delegate. A track record of testing and iterating customer communications – Experience developing ...

feed the priceBring recommendations rather than options. Lead with your view and what you need to execute itBuild the tooling, using our Claude, dbt, BigQuery and Lightdash stack, so pricing decisions get faster over time rather than more manualCollaborate closely with the Senior Leadership Team and co-founders ...

guardrail implementations.Frameworks & Tools: Hands-on experience with agentic frameworks (Google ADK, LangGraph), LLMs (Gemini, Claude, open-source), cloud and database architecture (Cloud SQL, Firestore, BigQuery, Postgres), and AI security & observability (OpenTelemetry, guardrails, LLM gateways).Data & Workload Orchestration: Mastery of data preparation strategies for AI workloads, data acquisition, and orchestration ...

will need to have knowledge of the following products and deep experience in one more of the categories: VPC networks and Service Perimeters BigQuery, Cloud SQL, Cloud Spanner and Firestore Data analytics services including Dataproc, Dataflow, Data Fusion and Cloud Composer Security controls, including Cloud IAM, PAM, VPC Service ...

products and deep experience in one more of the categories: Serverless: Cloud Run, Cloud Functions Kubernetes Engine, Compute Engine VPC networks and Service Perimeters BigQuery, Cloud SQL, Cloud Spanner and Firestore API management including Apigee or Cloud Endpoints Data analytics services including Dataproc, Dataflow, Data Fusion and Cloud Composer ...

BigQuery Architect Title: GCP BigQuery Architect Location: Bristol - 2 days onsite per week Duration: 6 - 12 Months Rolling Contract Budget : £450 per day, all inclusive Inside IR35 We are looking for an experienced GCP BigQuery Architect to design and deliver enterprise-scale data platforms on Google Cloud. … role will focus on BigQuery, cloud migration, data warehousing and modern data engineering , working closely with business and technical stakeholders. Key Responsibilities Design scalable, secure and high-performance GCP/BigQuery data architectures Lead migration of Legacy data warehouses and ETL workloads to GCP Define ...

need? Experience with digital analytics, ideally in a fast-paced or growth-focused environment. Hands‐on experience with SQL is a must, BigQuery, GA4, Looker, and Google Sheets are a plus. Comfortable working across a broad marketing function and building strong relationships with non‐technical stakeholders. Experience collaborating with ...

Requirements What we’re looking for A proven commercial track record taking MLmodels from prototype through to production Strong experience with Google Cloud Platform, BigQuery and Vertex AI Strong Python and SQL skills Experience in feature engineering, statistical validation and modelevaluation Comfortable working with messy, imperfect real-world data ...

need? Experience with digital analytics, ideally in a fast-paced or growth-focused environment. Hands-on experience with SQL is a must, BigQuery, GA4, Looker, and Google Sheets are a plus. Comfortable working across a broad marketing function and building strong relationships with non-technical stakeholders. Experience collaborating with ...

customer-facing AI applications. Experience working with cloud platforms such as Google Cloud Platform (GCP), including exposure to services such as Vertex AI, BigQuery and Kubernetes. Understanding of CI/CD, version control and software delivery best practices. Ability to collaborate effectively within multidisciplinary teams and contribute throughout ...

data models, and collaborate with stakeholders to turn raw data into trusted insights. You will build and maintain dbt models, work with Snowflake/BigQuery, and mentor junior engineers to raise data quality and best practices across the warehouse. #J-18808-Ljbffr ...

warehouse and translate business needs into actionable models. The role focuses on analytics engineering rather than data engineering or data science, with dbt on BigQuery, cross-system integration, and ownership of the semantic layer. You will collaborate with Finance, Product, Operations, Compliance, Sales and the executive team to deliver ...

monitoring across data pipelines, and own production scraping infrastructure with Playwright and anti-bot tooling. You will work with Python, SQL, dbt, and BigQuery to diagnose root causes and raise the data quality bar. This hybrid role is based in London with flexible working arrangements and a strong focus ...

validation and anomaly detection, keep scrapers healthy, and ship practical tooling to improve team efficiency. Applicants should excel in Python/SQL, dbt, and BigQuery, with experience in Playwright-based scraping, data orchestration (Dagster), and AI-assisted coding. Hybrid work model with 1–2 days in the London office. ...

plus, as is data enrichment, though fresh thinking on both counts matters just as much as direct experience. Cloud data warehouse experience such as BigQuery or Azure is useful but not essential. And the good stuff! 🎯 10% discretionary bonus + annual pay reviews 🌍 Up to 22 "work from anywhere ...

plus, as is data enrichment, though fresh thinking on both counts matters just as much as direct experience. Cloud data warehouse experience such as BigQuery or Azure is useful but not essential. And the good stuff! 10% discretionary bonus + annual pay reviews Up to 22 \"work from anywhere ...

plus, as is data enrichment, though fresh thinking on both counts matters just as much as direct experience. Cloud data warehouse experience such as BigQuery or Azure is useful but not essential. And the good stuff! 🎯 10% discretionary bonus + annual pay reviews 🌍 Up to 22 "work from anywhere ...

with complex datasetsProficiency in SQL, with experience in Python and/or R (desirable)Experience working in cloud-based data environments (e.g. Databricks, Snowflake, BigQuery)Proven ability to translate data into clear insights and compelling, actionable recommendationsA track record of identifying opportunities to improve reporting and analytical processesStrong stakeholder ...

Snowflake, Databricks or similar technologies would be advantageous. Data Platform Fluency: You have solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift) and the process of transforming raw data into a usable asset. Your Background We value curiosity, adaptability and a customer‐first mindset above ...

Snowflake, Databricks or similar technologies would be advantageous. Data Platform Fluency: You have a solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift) and the process of transforming raw data into a usable asset. Your Background: We value curiosity, adaptability and a customer-first mindset ...

maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents.Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals.Strong debugging instincts with imperfect, real-world data in production environments.Supply Chain Domain (Nice to Have)Prior ...