1 to 25 of 245 Permanent 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 ❯

Git. Excellent Problem-Solving and Communication Skills: The ability to troubleshoot complex data issues and communicate technical concepts effectively to both technical and non-technical audiences. Desirable GCP and BigQuery Knowledge: Utilize your experience with GCP and BigQuery for analytical data workloads and to ensure seamless interoperability within our multi-cloud strategy. Additional Information Along with your benefits 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 ❯

commercially viable, and aligned with client expectations. Enterprise Solution Design : Architect and lead the delivery of large-scale data platforms (including lakes, lakehouses, and warehouses) using GCP, Cloud Storage, BigQuery, Databricks, Snowflake. Cloud Data Strategy: Own cloud migration and modernisation strategy, leveraging GCP, and tools such as Terraform, Azure DevOps, GitHub, and CI/CD pipelines. Data Modelling: Apply 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 ❯

data, and third-party signals (e.g., marketing APIs). Ensure data integrity, completeness, and consistency via automated monitoring and validation tooling. Optimize and extend our cloud data warehouse (Google BigQuery) for performance and cost. Develop ETL/ELT jobs and data models to enable fast analytics and experimentation. Partner with analysts and product managers to define data tracking specifications … and secure data systems in mobile gaming. Requirements: Strong experience with Python and SQL for data engineering and transformation. Deep understanding of cloud-based data architecture, particularly with GCP (BigQuery, Cloud Functions, Pub/Sub, etc.) or AWS equivalents. Hands-on experience with orchestration tools such as Airflow or DBT. 3+ years in data engineering, preferably including at least 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 ❯

Proven experience building complex data pipelines and ETL processes from disparate sources in a production environment. Deep expertise with modern cloud data warehousing platforms, especially Snowflake (alternatively experience with BigQuery). Strong data modelling skills, including dimensional modelling and handling slowly changing dimensions. Strong CI/CD skills to automate the development lifecycle: proficiency with Github Actions preferred. Advanced 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 ❯

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 ❯

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 ❯

data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud Platform (GCP) services including BigQuery, Cloud Storage and Dataflow. Demonstrated experience in leading large-scale data migrations to cloud-based data platforms. High level of data literacy: ability to translate business needs into technical More ❯

data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud Platform (GCP) services including BigQuery, Cloud Storage and Dataflow. Demonstrated experience in leading large-scale data migrations to cloud-based data platforms. High level of data literacy: ability to translate business needs into technical More ❯

data engineering best practices. Strong understanding of data modelling principles and experience designing data architectures for analytics and operational workloads. Deep familiarity with Google Cloud Platform (GCP) services including BigQuery, Cloud Storage and Dataflow. Demonstrated experience in leading large-scale data migrations to cloud-based data platforms. High level of data literacy: ability to translate business needs into technical More ❯

Senior Data Engineer London (Hybrid) We are Manufacturing the Future! Geomiq is revolutionizing traditional manufacturing by providing engineers worldwide with instant access to reliable production methods through our digital platform. As the UK's leading Digital Manufacturing Marketplace, we offer 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 ❯