10 of 10 Permanent BigQuery Jobs in the Midlands

data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse Engineer , you will receive the following More ❯

and optimization efforts with detailed recommendations. Establish and maintain data governance practices to ensure data quality and security. Identify opportunities to integrate and streamline data using tools like Google BigQuery and Snowflake New Business Development Provide insights and data support for new business pitches and case study development. Collaborate with teams to analyse user behaviour and campaign performance for … Proficiency in BI tools like Looker Studio and Power BI. Strong knowledge of dataLayer customisation for advanced tracking needs. Experience with ETL processes and data pipelines. Familiarity with Google BigQuery, SQL, and performance marketing analytics. Ability to analyse user journeys and identify optimisation opportunities. What we can offer you What we can offer you Flexible Working: Work from home More ❯

advance measurement methodologies Proficiency in common data science coding languages such as in SQL, Python and/or R Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and DataProc Additional Information The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings More ❯

£38000 - £48000 per annum + dependent on experience Location United Kingdom, Coventry Job Type Permanent Description Are you an Analyst with expertise in Tableau? Have you got a background in Business Intelligence with a track record of delivering solutions? My More ❯

cleansing & transformation: standardising data Validation Monitoring & reporting Documentation YOUR SKILLS AND EXPERIENCE: A successful Data Quality Analyst will have the following skills and experience: Strong experience with SQL/BigQuery Experience with Python for automation Background in Data Quality and Governance Data Visualisation - ideally in Tableau THE BENEFITS: You will receive a salary, dependent on experience. Salary is up More ❯

cleansing & transformation: standardising data Validation Monitoring & reporting Documentation YOUR SKILLS AND EXPERIENCE: A successful Data Quality Analyst will have the following skills and experience: Strong experience with SQL/BigQuery Experience with Python for automation Background in Data Quality and Governance Data Visualisation - ideally in Tableau THE BENEFITS: You will receive a salary, dependent on experience. Salary is up More ❯

cleansing & transformation: standardising data Validation Monitoring & reporting Documentation YOUR SKILLS AND EXPERIENCE: A successful Data Quality Analyst will have the following skills and experience: Strong experience with SQL/BigQuery Experience with Python for automation Background in Data Quality and Governance Data Visualisation - ideally in Tableau THE BENEFITS: You will receive a salary, dependent on experience. Salary is up More ❯

indexing, relational/dimensional modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design, development, documentation and testing. Advantageous More ❯

SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager More ❯

SQL AWS MLOps tooling (e.g., MLflow, SageMaker, or similar) Bonus Points For: Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces Experience with data warehouse tools (Snowflake, Redshift, BigQuery) Familiarity with search, matching, or recommendation systems Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders Interview Process Screening conversation with hiring manager More ❯