26 to 50 of 112 BigQuery Jobs in the UK excluding London

particularly in data modelling. Strong SQL and hands-on dbt experience. Ability to convert business requirements into logical, scalable data models. Knowledge of cloud data platforms (e.g., Snowflake, Redshift, BigQuery). Strong communication and documentation skills. Structured, detail-oriented mindset. Desirable: Experience with semantic modelling tools (e.g., dbt SL, LookML). Familiarity with workflow orchestration and BI tooling. Version More ❯

Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins/ More ❯

Analysts, and cross-functional squads to land scalable data solutions. Mentor mid-level analysts on analytics delivery, tooling, and stakeholder engagement. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool Location This role is based can be based in London or Nuneaton, and may be occasionally required to travel to any other location of H&B. More ❯

Excellent written and verbal communication skills; presentation skills preferred Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding of metadata standards, data lineage, reference data, and business More ❯

Excellent written and verbal communication skills; presentation skills preferred Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding of metadata standards, data lineage, reference data, and business More ❯

of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

tooling to get bootstrapped quickly is a must: Frontend TypeScript + React App Router with React Server Components Shadcn UI, Radix UI & Tailwind CSS Utility-first CSS framework Data BigQuery Cloud data warehouse Dataform SQL transformation framework Semantic layer/analytics API Superset Presentation layer Algolia/Vertex AI Search - Search PostgreSQL App data Infrastructure & DevOps Google Cloud Platform More ❯

and analysis. Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). More ❯

and analysis. Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). More ❯

Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset adaptable, collaborative, and delivery-focused The details Location: Edinburgh 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day IR35 More ❯

Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset adaptable, collaborative, and delivery-focused The details Location: Edinburgh 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day IR35 More ❯

Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset – adaptable, collaborative, and delivery-focused The details Location: Edinburgh – 2 days onsite per week Duration: 3 months initially Day Rate: c.£500/day IR35 More ❯

and analysis. Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications More ❯

Promotions teams to deliver data products. Contribute to sprint planning and backlog shaping as part of the Commercial Ops analytics roadmap. 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 Nuneaton office (CV10 7RH) The Person What We're Looking For More ❯

Requirements About You Proficient in SQL, with experience querying and transforming large datasets across marketing, sales, and customer data sources. Comfortable working with modern data stacks, ideally including Redshift, BigQuery, Matillion, Metabase, and Retool. Strong grasp of performance marketing metrics such as ROAS, CAC, CTR, CPM, and attribution models. Experienced in building dashboards and visualisations that enable data-driven More ❯

with the ability to effectively present findings to both technical and non-technical stakeholders. Experience of A/B testing, experience in running retailed-based tool analytics Experience of BigQuery is desirable Benefits Pension company contribution = 3% Incentive scheme up to 10% of annual salary , based on company performance. Your wellbeing is paramount so you can get away and More ❯

experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a More ❯

experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a More ❯

experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a More ❯

web or mobile app experiences. Excellent communication and stakeholder management. What Will Make You Stand Out: Proficiency in SQL and experience with cloud data platforms (e.g. Google Cloud Platform , BigQuery ). If interested please apply, to follow up on your application email or message me on LinkedIn. More ❯

t Expect You To Have Experience With All Of These) Python and Databricks Spark, MLFlow, and Airflow for ML Workflows Google Cloud Platform for our analytics infrastructure dbt and BigQuery for data modelling and warehousing Some examples of our data science work can be found in our engineering blog: Image catergorisation Moving to a A(/B) Bayesian World More ❯