26 to 50 of 74 Remote BigQuery Jobs

large-scale datasets Excellent communication skills and ability to present complex ideas to non-technical stakeholders Experience with cloud platforms (AWS, GCP, Azure) and tools like Databricks, Snowflake, or BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM More ❯

ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex models into engaging narratives. Experience in scaling proof-of-concept More ❯

ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex models into engaging narratives. Experience in scaling proof-of-concept More ❯

ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding, including expertise in forecasting, clustering, optimization, and predictive modeling. Proficiency in Python, SQL, and cloud platforms (especially BigQuery). Commercial acumen in leveraging data to shape strategy and unlock business value. Exceptional data storytelling skills, translating complex models into engaging narratives. Experience in scaling proof-of-concept More ❯

to deliver end-to-end data products. Mentor mid-level analysts and help strengthen capability across the Commercial Ops analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This is a hybrid role based in Nuneaton, with the requirement to be in the office at least two days per week. The Person What More ❯

ability to translate ambiguous business problems into scalable, production-ready data science solutions Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools such as Databricks, Snowflake, and BigQuery Exceptional communication and stakeholder management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving, monitoring, and More ❯

data solutions on cloud platforms. Key Placement Learnings: Design and build data pipelines using Python, R, Nextflow; work on GCP to automate data flows. Interact with databases (e.g., PostgreSQL, BigQuery) to manage data and create views. Create analysis tools and dashboards to communicate results for decision-making. Work in multidisciplinary teams and develop presentation and communication skills. Role More ❯

to support reporting and analytics. • Collaborate with Data Analysts to deliver actionable insights and support proactive customer engagement strategies. • Implement data solutions using Google Cloud Platform services such as BigQuery, Cloud Functions, and Dataflow. What You Will Bring: • Proven experience as a Data Engineer, ideally within a customer service or contact centre environment. • Proficiency in SQL, Python, and data More ❯

to support reporting and analytics.• Collaborate with Data Analysts to deliver actionable insights and support proactive customer engagement strategies.• Implement data solutions using Google Cloud Platform services such as BigQuery, Cloud Functions, and Dataflow. What You Will Bring: • Proven experience as a Data Engineer, ideally within a customer service or contact centre environment.• Proficiency in SQL, Python, and data More ❯

with a multi-person engineering team, leveraging modern practices like code reviews, CI/CD, and trunk-based development. Experience in cloud ecosystems, particularly Google Cloud Platform services like BigQuery, Pub/Sub, or Cloud Functions. Required Skills/Abilities Proficiency in software development using modern programming languages like Python, Java, Go, or similar tools. Strong understanding of microservices More ❯

applications Hands-on experience with cloud data platforms (AWS/GCP/Azure) Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms) Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes Knowledge of containerization (Docker/Kubernetes) and infrastructure as code Preferred Experience Experience building web applications with modern frameworks (React, Vue, or Angular) API development More ❯

preferred Minimum 7 years of experience in data management and analytics (or related fields) Passionate about the Data world Proficiency in data analysis and reporting tools such as SQL, BigQuery, PowerBI Experience in using or implementing a Data Catalog tool Professional rigor, method, and organization Pragmatism and a sense of commitment Autonomy and ability to work in a team More ❯

and Build: Design and implement a robust, cloud-native data analytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless data experience. (Required) Data Lake , Data Zone, Data Governance: Design, build, and manage data More ❯

solutions. Experience with front-end development (React/JavaScript) and DevOps/maintenance tasks. Proficiency in building Agentic systems and multi-agent architectures. ETL and data management experience (Postgres, BigQuery, Azure, Snowflake). Ability to design solutions, validate requirements and anticipate risks independently. Experience coordinating with multiple engineering and product teams. Preferred Qualifications: Experience in graph databases and advanced More ❯

project and lead a talented data engineering team at a fast-growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for … working model: South London office 1-3 days per week , balanced with flexibility to work from home. What you'll be doing: Own the end-to-end migration to BigQuery, working with both internal teams and implementation partners. Define and evolve the data platform strategy, governance, and roadmap. Manage and mentor a team of data engineers, fostering excellence and … innovative, secure, and robust. What we're looking for: 5+ years' experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data More ❯

Technical Expertise Deep expertise in AWS and GCP cloud services, covering storage, compute, data processing, analytics, and serverless platforms (e.g., AWS S3/Redshift/Glue/Lambda, GCP BigQuery/Cloud Storage/Dataflow/Cloud Functions) Strong proficiency in SQL, Python, and data modeling for analytical and operational use cases Hands-on experience with production-grade ETL … and workflow orchestration (e.g., Airflow, dbt, Talend, AWS Glue, GCP Dataform/Cloud Composer) Proven ability to design, deploy, and optimize data warehouses and lakehouse architectures using technologies like BigQuery, Redshift, Snowflake, and Databricks Experience with Infrastructure as Code tools (e.g., Terraform, AWS CloudFormation, GCP Deployment Manager) for cloud resource provisioning and management Proficiency with CI/CD pipelines More ❯

Lead/Technical Lead roles (GCP preferred). Proven experience leading large-scale cloud data platform deliveries. Strong stakeholder engagement, communication, and governance skills. Familiarity with GCP data services (BigQuery, Dataflow, Cloud Composer, etc.) and modern delivery methodologies (Agile/Scrum, DevOps). Why apply? High-impact, visible programme with strong extension prospects. Hybrid working with a mix of More ❯

Lead/Technical Lead roles (GCP preferred). Proven experience leading large-scale cloud data platform deliveries. Strong stakeholder engagement, communication, and governance skills. Familiarity with GCP data services (BigQuery, Dataflow, Cloud Composer, etc.) and modern delivery methodologies (Agile/Scrum, DevOps). Why apply? High-impact, visible programme with strong extension prospects. Hybrid working with a mix of More ❯

Promotions teams to deliver data products. Contribute to sprint planning and backlog shaping as part of the Commercial Ops analytics roadmap. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This is a hybrid role, with 2 days per week expected in either our Nuneaton office (CV10 7RH) The Person What We're Looking For More ❯

re looking for a Senior Data Analyst with strong technical and analytical skills to join our data team in production technology. In this role, you'll use tools like BigQuery, PostgreSQL and Python to turn raw data into curated data structures and meaningful insights that support strategic business decisions across the organization. Whilst also interrogating further databases to support … business metrics Write advanced SQL queries to analyze large datasets and identify patterns, trends, and anomalies Use Python for more advanced analytics, automation, and data processing tasks Work with BigQuery to build scalable analytical workflows in a cloud-based environment Understand and design output for cross-functional teams to define KPIs, design experiments, and uncover actionable insights Deliver clear … in Microsoft Excel (pivot tables, lookups, data analysis toolpak, macros a plus) Experience writing Python for data manipulation, automation, or visualization (pandas, matplotlib, seaborn) Hands-on experience working with BigQuery or other cloud-based data warehouses (Redshift, Snowflake, etc.) and JSON data structures Strong team player and desire to support work of team members to deliver outcome Highly motivated More ❯

with GTM setup, tagging, and tracking implementation Strong analytical skills with the ability to interpret complex data Experience with data visualization tools like Looker Studio (or similar) Familiarity with BigQuery is advantageous Excellent communication skills for client-facing presentations Ability to work independently and manage multiple projects More ❯

to deliver end-to-end data products. Mentor mid-level analysts and help strengthen capability across the Commercial Ops analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location:This is a hybrid role, with 2 per week expected in ourNuneaton office (CV10 7RH) The Person What We're Looking For SQL expertise: Confident More ❯

on GCP currently to be right for this role. What You’ll Be Doing: Designing and implementing GCP infrastructure (Compute Engine, GKE, Cloud Run, Pub/Sub, Cloud Functions, BigQuery, etc.). Building CI/CD pipelines using tools like Cloud Build, GitHub Actions, or Jenkins. Automating infrastructure with Terraform (or equivalent IaC tools). Implementing monitoring, logging, and More ❯

for banking clients. This SAVP-level role blends strategic advisory, architecture, and pre-sales. Location : London (Hybrid) Start : Immediate/ASAP Key Focus : Architect large-scale GCP data platforms (BigQuery, Dataflow, Dataproc). Lead pre-sales engagements and shape solution blueprints. Advise senior stakeholders and drive innovation. You'll Need : 10+ years in BI/DW/Analytics, including More ❯

for banking clients. This SAVP-level role blends strategic advisory, architecture, and pre-sales. Location : London (Hybrid) Start : Immediate/ASAP Key Focus : Architect large-scale GCP data platforms (BigQuery, Dataflow, Dataproc). Lead pre-sales engagements and shape solution blueprints. Advise senior stakeholders and drive innovation. You'll Need : 10+ years in BI/DW/Analytics, including More ❯