1 to 25 of 63 BigQuery Jobs in the South East

Computer Science, Engineering, or a related field. Technical skills: Advanced proficiency in SQL and Python for data manipulation and analysis Experience in Google data infrastructure, including DataPlex, DataCatalog and BigQuery Experience in Google data processing, including DataStream, DataFlow, Cloud Composer Experience building and maintaining data transformation layers using dbt. Strong experience with data visualization tools, (e.g. Looker) Experience with More ❯

familiar with the existing Analytics toolset to utilize on client business, including data visualisation technologies (Power BI, Tableau, Datorama), reporting tools (Microsoft Excel, Looker Studio), data warehouse tools (Google BigQuery), measurement platforms (Google Campaign Manager and Google Analytics) and Effectiveness partners (both within WPP and externally) Develop effective partnerships with key stakeholders within clients, Wavemaker, WPP and other specialist More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we offer: Fully remote work. Competitive salary package commensurate with experience Opportunity to work in More ❯

technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/ELT processes and data visualisation tools (e.g. Looker Studio). Knowledge of AI integrations and agent More ❯

requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 6 years+ experience as a Data Engineer solving complex and scaled data challenges More ❯

SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. More ❯

technical topics for non-technical audiences. ·Team player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills: ·Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or More ❯

teams you will model data from business systems to be insight and operations ready. This role is for you if you have: Solid experience in SQL Experience with Google BigQuery preferable Experience working with relational and non-relational data sources Experience using Google Looker Studio (formerly Data Studio), or similar products Data visualisation and data storytelling skills Familiarity with More ❯

campaign initiatives. Analyse large datasets using SQL and Python to uncover trends and guide strategic decision-making. Build and maintain KPI dashboards using modern BI tools (e.g., Looker Studio, BigQuery). Maintain high data quality through validation, monitoring and governance best practices. Contribute to the development and optimisation of the analytics and data warehouse environment. Provide BI guidance, training More ❯

by enabling us to understand our customers better, harnessing data and discovering insight across all our touch-points, campaigns and marketing activity. Using Tools And Databases Including Google Sheets, BigQuery (SQL), Tableau, And Python You'll Tackle Intriguing And Exciting Problems That We're Only Just Starting To Understand, In Order To Deepen our understanding of CRM programmes and More ❯

and lineage. Drive CI/CD practices using GitHub Actions or similar tools. Collaborate with cross-functional teams to improve platform capabilities and analytics maturity. Requirements: Proven experience in BigQuery and dbt/dataform for data warehousing and transformation. Strong SQL skills and understanding of modern data architecture principles. Hands-on experience with Tableau for enterprise-grade dashboard development. More ❯

to define and implement data models and storage strategies. DATA ENGINEER - ESSENTIAL SKILLS: Proven experience as a Data Engineer, Data Developer, or similar role. Strong experience with GCP (e.g. BigQuery, Cloud Storage, Dataflow) and other cloud-based data solutions. Proficiency in Python for scripting and data transformation. Hands-on experience with PostgreSQL and MongoDB. Solid understanding of ETL/ More ❯

Qualifications 5-8+ years of experience in data analysis, product analytics, and AI/ML-driven insights. Strong SQL skills for querying and analyzing large datasets (Presto SQL, BigQuery, etc. Proficiency in BI tools such as Qlik Sense, Tableau, Amplitude, or Data Studio. Python experience for statistical modeling and AI/ML-driven analysis. Experience in A/ More ❯

newsletter performance. What you'll need to succeed Experience of working in a Data Analysis/Product analysis capacity Experience of AB testing Strong experience in SQL - ideally with BigQuery Knowledge of GA4 (Google Analytics) or Adobe Analytics Familiarity with subscription and user lifecycle metrics - CAC, churn, CLV, LTV, retention cohorts Experience building automated dashboards and data pipelines Ability More ❯

quality and readiness in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth More ❯