1 to 25 of 234 BigQuery Jobs in England

similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc) Would you like to join us as we work hard, have fun and make history? Apply for this job indicates a required field First Name Last Name More ❯

similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc Would you like to join us as we work hard, have fun and make history? Apply for this job indicates a required field First Name Last Name More ❯

About FairPlay Sports Media: We’re a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯

About FairPlay Sports Media: We’re a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯

data warehouse setup (incl. modeling), data activation, data quality, data governance, real-time reporting; Hands on experience on GCP (Google Cloud Platform) environment; preferably on most of the following: BigQuery, Cloud Composer, Cloud Run, Cloud Monitoring & Logging, Dataplex, Beam, Tentacles and Pub/Sub; Fluent Python, SQL skills with real life project experience; Experience on orchestration tools such as … Airflow and DBT; Experience with one of major analytical DWHs is plus: BigQuery, Redshift, Snowflake, Databricks, Synapse; Work experience with following technologies are noteworthy to mention and might be seen as bonus: AWS (and Data related proprietary technologies), Azure (and Data related proprietary technologies), Adverity, Fivetran, Looker, PBI, Tableau, RDBMS, Spark, Redis, Kafka; Being a fair, kind and reliable More ❯

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 ❯

skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with 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 ❯

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 ❯

comfortably across both engineering and analytics, and is excited about building internal tools that directly improve product and customer experiences. You'll be working with a mature stack (Python, BigQuery, dbt, FastAPI, Metabase), and your day-to-day will include both writing production-level code and making data actually useful for decision-makers. Main responsibilities: Build, maintain, and optimize … version control (GitLab) Experience Required: 5+ years of Python , including writing production-level APIs Strong SQL and DBT for data transformation and modeling Experience with modern data stack components: BigQuery, GCS, Docker, FastAPI Solid understanding of data warehousing principles Proven ability to work cross-functionally with both technical and non-technical stakeholders Comfortable maintaining and optimizing BI dashboards ( Metabase More ❯

Infrastructure : Design, develop, and maintain scalable data pipelines and infrastructure to enable reliable analytics and data-driven decisions. ETL/ELT Development : Build, optimise, and manage ETL processes in BigQuery and associated tools to ensure timely and accurate data ingestion. Data Warehousing : Maintain and evolve our BigQuery data warehouse, ensuring it is performant, reliable, and aligned with business … Automate and streamline infrastructure deployment and management processes, improving operational efficiency. What we're looking for: Experience : Practical production experience building, optimising and maintaining data pipelines and warehouses, using BigQuery or similar cloud data solutions. Technical Skills : Strong proficiency in SQL and ETL/ELT frameworks and experience with data modelling, optimisation, and pipeline orchestration. Python or similar programming More ❯

similar scripting languages for data science Experience with data processes and building ETL pipelines Experience with cloud data warehouses such as Snowflake, Azure Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ELT solutions with tools like SSIS, Alteryx, AWS Glue, Databricks, IBM DataStage Strong analytical and technical 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 ❯

+ BigQuery + Dashboard Experience Location: Heathrow ( Hybrid 2 X Week Onsite ) Rate: £550 Inside IR35 We are seeking a talented Data Analyst with expertise in utilising Google BigQuery and Google Cloud Platform (GCP) for data analysis and insights generation. The ideal candidate should have a strong analytical mindset, proficiency in dashboards, querying and manipulating large datasets, and … complex data into actionable insights that drive business decisions. Candidate Specification What you’ll bring Proven experience as a Data Analyst, with a focus on utilising GCP services and BigQuery for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with More ❯

+ BigQuery + Dashboard Experience Location: Heathrow ( Hybrid 2 X Week Onsite ) Rate: £550 Inside IR35 We are seeking a talented Data Analyst with expertise in utilising Google BigQuery and Google Cloud Platform (GCP) for data analysis and insights generation. The ideal candidate should have a strong analytical mindset, proficiency in dashboards, querying and manipulating large datasets, and … complex data into actionable insights that drive business decisions. Candidate Specification What you’ll bring Proven experience as a Data Analyst, with a focus on utilising GCP services and BigQuery for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. Familiarity with 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 ❯

SaaS or tech environment, but this isn't set in stone! Familiarity with digital advertising platforms (Google Ads, Facebook Ads, LinkedIn Ads, TikTok, etc.) We use Google Analytics 4, BigQuery, Fivetran, Amplitude, Metabase and DBT amongst other things for our data stack, so experience here would be beneficial, however, experience in similar tools (if not these ones) is a More ❯

used backend programming languages (Python, Node.JS, Java, PHP, GO, C#, C++) Familiar with version control tools and proper branching techniques (Gitlab preferred) Experience working with data warehouses (Google Cloud BigQuery), data governance, payments and treasury or capital markets systems So, what's in it for you? Our people are constantly striving to be the best through operational excellence. The More ❯

used backend programming languages (Python, Node.JS, Java, PHP, GO, C#, C++) Familiar with version control tools and proper branching techniques (Gitlab preferred) Experience working with data warehouses (Google Cloud BigQuery), data governance, payments and treasury or capital markets systems So, what's in it for you? Our people are constantly striving to be the best through operational excellence. The More ❯

and non-technical stakeholders alike. The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics More ❯