1 to 25 of 42 Remote BigQuery Jobs in the UK excluding London

rail industry's revenue allocation system through a suite of technology upgrades and methodological improvements. Key enhancements include migrating the platform to Google Cloud Platform (GCP), implementing a modern BigQuery-based Data Warehouse, and replacing the legacy solution for allocation factor calculation with an innovative, graph database-driven solution. Duties: Lead the design of data architectures and the development More ❯

components Programming experience in Python Skills and experience we’d love you to have... Understanding of cloud computing security concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in More ❯

components Programming experience in Python Skills and experience we’d love you to have... Understanding of cloud computing security concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in More ❯

industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun More ❯

and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficial Depth of knowledge and understanding across core More ❯

equivalent (expired is acceptable) Working knowledge of SQL and data modelling concepts Experience with BI tools (e.g., Power BI, Looker, Tableau) Familiarity with cloud data platforms such as Snowflake, BigQuery, or AWS Redshift Understanding of modern data architecture and APIs Our Offer Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible 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 ❯

Reporting and Data Engineering team in maintaining consistent and accurate data. What do we need from you? Experience with either relational SQL or analytics databases, including Postgres, Cassandra and BigQuery Familiarity with cloud-based technologies and deployment infrastructure such as GCP functions, Kubernetes & Terraform/Jenkins, CI/CD Git. Knowledge of Data Modelling, ETL development and Database/ More ❯

version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯

version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯

version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯

re Looking For Hands-on Palantir Foundry expertise or transferable, client facing data engineering experience with large-scale data platforms such as: Snowflake, Databricks, AWS Glue/Redshift, Google BigQuery Software engineering skills in Python, Java, or TypeScript/React. Strong data modelling, pipeline development, and API design experience. Excellent problem-solving and communication skills. Why This Role Stands More ❯

two days of work per week. Key Requirements Proficiency with Python and SQL for data transformation, pipeline development, and model integration Experience with modern data lake technologies such as BigQuery or Snowflake Experience working with large, complex, and high-volume data sets The ability to unify, collate, and interpret data to support data-driven decisions Proficient in using analytics More ❯

cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands 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 ❯

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 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯