51 to 75 of 262 BigQuery Jobs in the UK

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to More ❯

FOI and public-sector procurement. Communication & Stakeholder Management : Able to translate technical concepts for non-tech executives; excellent leadership, mentoring and team-building skills. Performance Analytics : Google Analytics, Google BigQuery, Google Looker Studio, Google Tag Manager Domain experience in benefits or civic services (e.g. public sector). Previous contracting under SIFA or similar public-sector frameworks. Security clearance (BPSS More ❯

impact of business changes, new product launches, pricing strategies and market shifts, and creating comprehensive financial reports and visualisations using Looker. You'll be working with data from Google BigQuery, though prior experience with this is not required, as long as you bring SQL skills for data extraction and manipulation, and a desire to learn how to work with More ❯

impact of business changes, new product launches, pricing strategies and market shifts, and creating comprehensive financial reports and visualisations using Looker. You'll be working with data from Google BigQuery, though prior experience with this is not required, as long as you bring SQL skills for data extraction and manipulation, and a desire to learn how to work with More ❯

impact of business changes, new product launches, pricing strategies and market shifts, and creating comprehensive financial reports and visualisations using Looker. You'll be working with data from Google BigQuery, though prior experience with this is not required, as long as you bring SQL skills for data extraction and manipulation, and a desire to learn how to work with More ❯

impact of business changes, new product launches, pricing strategies and market shifts, and creating comprehensive financial reports and visualisations using Looker. You'll be working with data from Google BigQuery, though prior experience with this is not required, as long as you bring SQL skills for data extraction and manipulation, and a desire to learn how to work with More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

What We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. More ❯

testing principles to ensure code is fit for purpose Experience that will put you ahead of the curve Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure SQL development skills Experience using Dataform or dbt Demonstrated strength in data modelling, ETL development, and data More ❯

share documentation, and support technical best practices Integrate infrastructure and data services across cloud platforms Skills and Experience Expertise in cloud platforms: Azure : Data Factory, Synapse, Monitor, ARM GCP : BigQuery, Dataflow, Cloud Composer, Pub/Sub Strong knowledge of data warehousing, storage, and modelling Experience with ETL/ELT processes and performance tuning Hands-on scripting (Python, PowerShell) for More ❯

share documentation, and support technical best practices Integrate infrastructure and data services across cloud platforms Skills and Experience Expertise in cloud platforms: Azure : Data Factory, Synapse, Monitor, ARM GCP : BigQuery, Dataflow, Cloud Composer, Pub/Sub Strong knowledge of data warehousing, storage, and modelling Experience with ETL/ELT processes and performance tuning Hands-on scripting (Python, PowerShell) for More ❯

communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced More ❯

communications both internally and with external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced More ❯

Kafka, Apache Spark, Apache Flink, object, relational and NoSQL data stores. Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, GCP BigQuery) Expertise in building data architectures that support batch and streaming paradigms Experience with standards such as JSON, XML, YAML, Avro, Parquet Strong communication skills Open to learning new technologies 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 ❯

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 ❯

processes and data quality To be successful in the role you will have: Experience in an analytical role Strong SQL skills for data extraction and manipulation Experience with Google BigQuery is beneficial Proven experience in financial modelling and forecasting Experience using data visualisation tools such as Power BI, Tableau, or Google Looker This is a fully on-site position More ❯

with strong analytical thinking, business acumen, and a passion for continuous improvement. Knowledge of ERP systems like Agresso or Oracle Financials is a bonus. Familiarity with tools like Google BigQuery , Looker , DBT , GitHub , Tableau , or Qlik is helpful but not essential. More ❯

in a financial or analytical role. Degree (or equivalent experience) in Finance, Economics, Accounting or a numerate discipline (preferred). Proficient in SQL for data analysis; experience with Google BigQuery is advantageous. Strong experience in building financial models and conducting forecasting. Excellent analytical, mathematical and problem-solving abilities. Proficiency in data visualisation tools such as Google Looker, Tableau or More ❯

strategies to continuously enhance the company's data capabilities. YOUR SKILLS AND EXPERIENCE: The ideal Head of Data Platform will have: Extensive experience with Google Cloud Platform (GCP), particularly BigQuery Proficiency with a modern data tech stack, including SQL, Python, Airflow, dbt, Dataform, Terraform Experience in a mid-large sized company within a regulated industry, with a strong understanding More ❯

use of PubSub and Cloud Storage React frontend, using ShadCN for components, TailwindCSS for styling, React Query for state management Posthog for frontend analytics (events, sessions, feature flags, experiments) BigQuery as our data warehouse, with Metabase for data visualization. Production data and Posthog events both stream into it so data is in one place. Sentry and Google Cloud Logging More ❯

skills for building and optimising data pipelines Experience working with cloud platforms (e.g., AWS, GCP, or Azure) Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, Redshift, or BigQuery) Understanding of data modelling and warehousing principles Experience working with large datasets and distributed systems What's in it for you? Up to £70k Hybrid working More ❯

visualisation tools to drive client value 🛠️ Tech & Experience We’re Looking For Strong SQL and Python skills Experience with cloud platforms such as GCP or Azure Hands-on with BigQuery , Synapse , or similar data warehouses Familiarity with data visualisation tools — D3.js or similar Proven client-facing experience Previous consultancy experience is highly desirable This is a fantastic opportunity to More ❯