4 of 4 BigQuery Jobs in the East of England

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 ❯

warehouse, ensuring data is accurate, secure, and ready to drive commercial success. You will lead a small data team, architect resilient ELT pipelines in GCP Dataflow , manage and optimise BigQuery schemas, and establish robust data governance frameworks. You will work closely with stakeholders across the organisation, from sales to marketing, to ensure data is providing maximum business value. Key … Responsibilities Design and maintain ELT pipelines in GCP Dataflow and BigQuery, ensuring seamless integration from multiple data sources including CRM and marketing platforms. Architect and optimise data warehouse schemas to reflect business processes and enable efficient querying and analysis. Document the context and usage of data - including its origins, purpose, and how it supports different business functions. Gain a More ❯

product, and engineering teams to position our platform as the essential layer for modern data infrastructure. You will work closely with cloud data platform companies such as Snowflake, Databricks, BigQuery and others to drive ekai's platform adoption through key partnerships, monetization activities and getting us to the inflection point. Key Responsibilities Growth Strategy & Execution Lead ekai commercialization efforts. … AI startups; experience at the pre-seed/seed stage is a strong plus. Domain Knowledge: Deep understanding of data engineering, BI, analytics, or cloud data platforms (e.g., Snowflake, BigQuery, Databricks). Track Record: Demonstrated success in building and scaling go-to-market functions from scratch. Leadership: Proven ability to recruit, inspire, and lead cross-functional teams in a More ❯

product, and engineering teams to position our platform as the essential layer for modern data infrastructure. You will work closely with cloud data platform companies such as Snowflake, Databricks, BigQuery and others to drive ekais platform adoption through key partnerships, monetization activities and getting us to the inflection point. Key Responsibilities Growth Strategy & Execution Lead ekai commercialization efforts. Develop … AI startups; experience at the pre-seed/seed stage is a strong plus. Domain Knowledge: Deep understanding of data engineering, BI, analytics, or cloud data platforms (e.g., Snowflake, BigQuery, Databricks). Track Record: Demonstrated success in building and scaling go-to-market functions from scratch. Leadership: Proven ability to recruit, inspire, and lead cross-functional teams in a More ❯