1 to 25 of 96 BigQuery Jobs in the UK excluding London

materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks More ❯

materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks More ❯

materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks More ❯

materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols More ❯

big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). Experience integrating diverse data sources and systems. Understanding of secure data transfer protocols More ❯

the ability to upskill team members through peer review, training, and best practice development. Data Infrastructure: A solid understanding of cloud-based data warehousing (e.g., Azure, Fabric, Snowflake, Redshift, BigQuery) and ETL processes. Analytical Prowess: Exceptional analytical and problem-solving skills, with the ability to translate complex data into clear, actionable business insights. Demonstrated proficiency in Python/R More ❯

Strong SQL Server skills, including query optimisation and performance tuning. Familiarity with scheduling and orchestration tools (e.g. Control-M). Hands-on experience with Google Cloud tools such as BigQuery, Composer, and VertexAI. Proficient in Python for data manipulation and modelling. Strong skills in data visualisation using Tableau Desirable: Background in insurance or financial services, with exposure to industry More ❯

stakeholders and deliver high-quality outputs under deadlines. Strong business acumen and ability to connect data to commercial outcomes. Strong experience with data warehousing and cloud platforms (e.g. Azure, BigQuery, Teradata) required About Primark At Primark, people matter. They're the beating heart of our business and the reason we've grown from our first store in Dublin in More ❯

non-technical audiences. Desirable Experience with recruitment performance metrics (e.g., placements, time-to-fill, consultant productivity, gross profit per consultant). Familiarity with cloud-based data warehouses (e.g., Snowflake, BigQuery). 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 ❯

CD pipelines and version control practices Nice to have: Experience using Databricks Asset Bundles (DAB) Working knowledge of GCP and/or Azure in multi-cloud environments Familiarity with BigQuery or deployment automation tools like Harness If you don't tick every box but feel you could be a great fit, we'd still love to hear from you. 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 ❯

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 ❯

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 ❯

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 ❯

improvements in financial processes and reporting. Requirements: Degree (or equivalent experience) in Finance, Economics, Accounting, or a related field. 2+ years in an analytical role. Strong SQL skills (Google BigQuery experience is a plus). Proven experience in financial forecasting and modelling. Excellent analytical and problem-solving skills. Experience with data visualisation tools (Google Looker, Tableau, Power BI). 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 ❯

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 ❯

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 ❯

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 ❯