1 to 25 of 84 Permanent BigQuery Jobs in the UK excluding London

industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun More ❯

computing and data-intensive applications, especially Google Cloud Platform 3+ years in data engineering or data science Experience with data quality assurance and testing Knowledge of GCP data services (BigQuery, Dataflow, Data Fusion, Dataproc, Cloud Composer, Pub/Sub, Cloud Storage) Understanding of logging and monitoring tools such as Cloud Logging, ELK Stack, etc. Ability to learn new technologies More ❯

engineering scalable data pipelines using ETL/ELT tools e.g. Apache Spark, Airflow, dbt. Expertise with cloud data platforms e.g. AWS (Redshift, Glue), Azure (Data Factory, Synapse), Google Cloud (BigQuery, Dataflow). Proficiency in data processing languages e.g. Python, Java, SQL The ability to design and implement reliable, maintainable and performant data architectures. Good knowledge of data warehousing, data More ❯

engineering scalable data pipelines using ETL/ELT tools e.g. Apache Spark, Airflow, dbt. Expertise with cloud data platforms e.g. AWS (Redshift, Glue), Azure (Data Factory, Synapse), Google Cloud (BigQuery, Dataflow). Proficiency in data processing languages e.g. Python, Java, SQL The ability to design and implement reliable, maintainable and performant data architectures. Good knowledge of data warehousing, data More ❯

Data Expertise: A solid understanding of data warehousing concepts, ETL/ELT processes, data modeling, and various database technologies (e.g., SQL, and cloud data platforms like AWS Redshift, Google BigQuery, Snowflake). Strong Technical Acumen: The ability to grasp complex technical details and articulate them clearly to non-technical stakeholders. While not a hands-on coding role, a firm More ❯

enabling seamless data flows, and delivering actionable insights through advanced analytics and visualization. What You’ll Be Doing: Design, build, and maintain data pipelines using GCP technologies such as BigQuery, Cloud Storage, and Cloud Dataflow Develop insightful dashboards and reports in Power BI to support key business decisions Write efficient, scalable Python code for data transformation and analysis Collaborate … existing data systems for performance and scalability What We’re Looking For: Experience in data engineering, data analysis, or a related discipline Proven hands-on expertise with GCP services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes More ❯

experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic More ❯

familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO More ❯

skills and attention to detail. Experience with data integration tools and frameworks. Understanding of data quality frameworks and standard methodologies. Understanding of data warehousing concepts and technologies. Experience using BigQuery for data processing and testing. Proficiency in using XRay integration for test management and reporting, including managing test cases, tracking test execution, and generating detailed reports to ensure comprehensive More ❯

more junior members of staff. Required Skills & Experience: Proven experience as a Data Engineer in a commercial environment. Strong hands-on experience with Google Cloud Platform (GCP) services (e.g., BigQuery, Dataflow, Pub/Sub). Solid understanding of Azure data services and hybrid cloud environments. Advanced SQL skills and proficiency in Python for data engineering tasks. Experience working in More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

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 ❯

About You Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks More ❯

Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks More ❯

infrastrcutrure (design and lead implementation of enterprise-grade ETL and data pipeline solutions) - Take ownership of the data warehouse and related infrastructure - Experience working with cloud platforms (such as BigQuery, Snowflake, Azure) - Embed data governance strategies - Must be highly skilled in SQL and confident using other tools (such as Python, R, JavaScript) InterQuest Group is acting as an employment 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 ❯

each use case Support knowledge sharing and technical best practice Essential Experience: Proven expertise in building data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable 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 ❯

data solutions Migrating from Azure to GCP Automate data lifecycle processes and optimise cloud resource usage Support analytics and self-service reporting initiatives Skills & Experience Strong experience with GCP, BigQuery, Dataflow Proficiency in Python and Terraform Skilled in ETL/ELT, data modelling, and metadata management Familiarity with CI/CD, DevOps, and Infrastructure-as-Code Knowledge of insurance More ❯

and best in class analytics and Data Science. You'll enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost. Help More ❯

and best in class analytics and Data Science. You'll enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost. Help More ❯

LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows. Strong … NumPy), machine learning, PI development (Flask/FastAPI), and writing clean, maintainable code. SQL: Expertise in querying, database design/optimization, stored procedures, functions, partitioning/clustering strategies for BigQuery tables. LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/… analytics, BigQuery ML for in-database machine learning, query optimization techniques. Google Cloud Storage (GCS): Experience with data lake management, storage/retrieval processes, lifecycle management. Desirable ITIL Foundation in IT Service Management Scrum/Agile qualifications If you are an experienced AI Engineer Engineer and feel you have the desired skills and experience which would enable you to More ❯