26 to 50 of 156 BigQuery Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

on growth & improvement. Experience of using digital analytics tools such as Google Analytics (or equivalent). A minimum of intermediate SQL ability with experience of using tools such Google BigQuery, Databricks (or equivalent). Use of visualisation tools (Looker Studio/Power BI/Tableau). Strong stakeholder engagement and ability to work collaboratively across multiple teams. Proactive nature 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 ❯

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 ❯

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 ❯

Data Analytics, Information Systems, or a related field. Expertise in SQL, Looker, and other data analysis tools. Proficiency in tools such as Google Sheets, Google Data Studio, and Google BigQuery is also essential. Strong analytical skills with the ability to analyze complex datasets, identify patterns, trends, and extract actionable insights. Proven problem-solving aptitude, including the ability to create 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 ❯

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 ❯

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 ❯

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 ❯