1 to 25 of 49 Remote BigQuery Jobs in England

Engineering/Data Engineering/BI Engineering experience Understanding of data warehousing, data modelling concepts and structuring new data tables Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift) Nice to have Experience developing in a BI tool (Looker or similar) Good practical understanding of version control SQL ETL/ELT knowledge, experience with DAGs to manage More ❯

data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience working with cloud data warehouses (BigQuery a strong plus). Proficient with BI tools (Looker Studio, Superset, or similar), able to build robust dashboards and compelling visualizations. Practical experience automating data workflows (e.g., with Python More ❯

data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience working with cloud data warehouses (BigQuery a strong plus). Proficient with BI tools (Looker Studio, Superset, or similar), able to build robust dashboards and compelling visualizations. Practical experience automating data workflows (e.g., with Python More ❯

of tools like Docker & Docker Compose Nice-to-haves (Mix of the following but not all essential): * Experience working with Google Cloud products for ML including Vertex AI Pipelines & BigQuery * Experience with dbt (data build tool) * Previous experience working with advertising data * Experience with FastAPI or other Python API frameworks * Experience with dashboarding tools such as Looker Studio, Tableau More ❯

relational/non-relational databases. Proficiency in Python and/or Java for data services and API integration. Proven experience with cloud platforms (GCP preferred) and data warehouses like BigQuery or Snowflake. Strong analytical skills and experience working with large, complex datasets. Excellent communication and project management abilities. 5+ years in data engineering, ideally within fast-paced, content-driven More ❯

relational/non-relational databases. Proficiency in Python and/or Java for data services and API integration. Proven experience with cloud platforms (GCP preferred) and data warehouses like BigQuery or Snowflake. Strong analytical skills and experience working with large, complex datasets. Excellent communication and project management abilities. 5+ years in data engineering, ideally within fast-paced, content-driven More ❯

term lending or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro with More ❯

term lending or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro with More ❯

with Databricks and building ETL/ELT pipelines Familiarity with CI/CD and version control Bonus Points For: Experience with Databricks Asset Bundles (DAB) Exposure to GCP , Azure , BigQuery , or Harness What’s In It For You: 25 days holiday (+ option to buy 10 more) 4 flexible bank holidays 10% pension + annual bonus On-site gym More ❯

deliver end-to-end data products. Mentor mid-level analysts and contribute to capability-building across the Core Business Analytics team. 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 London or Nuneaton office. The Person Core Skills & Behaviours SQL expertise More ❯

cycles. Champion the use of data across the commercial org, raising data literacy and coaching stakeholders on how to use insights. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This role is based in Nuneaton and is required to occasionally travel to other location of H&B. We support flexibility and productivity of our 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 ❯

your skills with mentorship from senior team members and access to our skills framework to grow into a full-stack analyst. 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 London or Nuneaton office. The Person Core Skills & Behaviours SQL proficiency More ❯

solving open-ended problems and shipping solutions that matter. Technologies we use Backend languages: Python, Go Tech infrastructure: AWS, CDK (TypeScript), Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event-driven architecture and domain-driven design How we reward our team Dynamic working environment with a diverse and driven team More ❯

curious, technically confident, and enjoy shaping the way a business uses data. WHAT YOU'LL BRING Strong SQL and Looker skills (essential) Experience with cloud data platforms like Snowflake, BigQuery or similar Background in digital media, subscriptions, or online products Confident presenting analysis to non-technical audiences Experience with data modelling, analytics strategy, or workflow automation is a plus More ❯

curious, technically confident, and enjoy shaping the way a business uses data. WHAT YOU'LL BRING Strong SQL and Looker skills (essential) Experience with cloud data platforms like Snowflake, BigQuery or similar Background in digital media, subscriptions, or online products Confident presenting analysis to non-technical audiences Experience with data modelling, analytics strategy, or workflow automation is a plus More ❯

not), or supporting strategic decisions with data, this role will give you broad exposure across ecommerce and digital marketing performance. 🛠️ What You'll Need Proven experience using SQL and BigQuery to pull and manipulate data Exposure to Power BI and Google Analytics is a bonus A strong commercial mindset with a track record of delivering insights that drive impact More ❯

to be considered for this role you will need to have - • Experience with data management and data architectures (SQL/NoSQL), database systems, modern data warehouse platforms (Snowflake, Databricks, BigQuery), ETL/ELT pipeline development, and data lake/warehouse implementations for integrating structured and unstructured laboratory and sequencing data sources. • Master Full-Stack technologies, such as Python, JavaScript 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 ❯

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 ❯

a collaborative, fast-paced environment. What You'll Be Doing: Building and maintaining scalable data pipelines across Azure and GCP Working with tools such as Azure Data Factory, Snowflake, BigQuery, and Cloud Functions Supporting data warehousing and integration across diverse industry projects Collaborating with data professionals and contributing to cross-functional delivery teams Assisting in reporting and data visualisation … years of experience in a data engineering or similar role (graduates welcome) Proficiency in SQL and Python Exposure to any of the following: Azure Data Factory GCP BigQuery Snowflake Cloud Functions Strong communication and problem-solving skills Must be eligible for SC (Security Check) clearance (UK residency required) What's On Offer: £50,000 base salary Hybrid working (London More ❯

by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with our clients … data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools More ❯

on experience with GA4 and GTM . Proven track record of delivering analytics implementations in a digital agency or similar environment. Excellent troubleshooting and problem-solving skills. Familiarity with BigQuery is a strong bonus. Experience working with clients in the hospitality sector would be advantageous. More ❯

on experience with GA4 and GTM . Proven track record of delivering analytics implementations in a digital agency or similar environment. Excellent troubleshooting and problem-solving skills. Familiarity with BigQuery is a strong bonus. Experience working with clients in the hospitality sector would be advantageous. More ❯

on experience with GA4 and GTM . Proven track record of delivering analytics implementations in a digital agency or similar environment. Excellent troubleshooting and problem-solving skills. Familiarity with BigQuery is a strong bonus. Experience working with clients in the hospitality sector would be advantageous. More ❯