51 to 75 of 126 BigQuery Jobs in the UK

working on: We’re looking for a product analyst to join our ever-developing London office. You’ll be using tools and databases including BigQuery, Tableau, DBT and Python, to tackle important problems that we’re only just starting to understand, in order to: Measure, quantify and optimise complex more »

in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest more »

in Infrastructure as Code developments and tools e.g. Terraform Desired : experience with MLOps deployment and maintenance. Desired: Data Engineering technologies e.g. ETL , Spark , Dataflow , BigQuery Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest more »

wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like Google BigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop data collection systems and processes - Ensure data accuracy and compliance Qualifications - 2+ years data analysis more »

The selected candidate will also be focusing onbuilding, designing and taking ownership of high quality data products. Key requirements: Advanced SQL Google Cloud Platform BigQuery (or Snowflake) Terraform Full understanding of CI/CD pipelines Python Expereince in leading data teams (Tech lead) Offer and Benefits: Discount scheme for more »

a plus). Because data preparation will be c.25% of the role,the candidate requires technical background and comfort with this activity. Experience GCP BigQuery and Oracle PL/SQL experiences are a plus. Cooperative and positive attitude in a group setting to achieve common goals Ability to act more »

expansion, they are quickly moving towards being at the forefront of innovation in the leisure industry. The company has established a data warehouse in BigQuery through a third party and is beginning to utilise tools such as Looker for data visualisations. Now, there is a strong push to further more »

transformations. Deploy code using CICD pipelines built. Essential Skills: Extensive ETL and Data warehousing experience Strong experience in GoLang programming Google Cloud Services and BigQuery more »

transformations. Deploy code using CICD pipelines built. Essential Skills: Extensive ETL and Data warehousing experience Strong experience in GoLang programming Google Cloud Services and BigQuery ... more »

transformations. Deploy code using CICD pipelines built. Essential Skills Extensive ETL and Data warehousing experience Strong experience in GoLang programming Google Cloud Services and BigQuery more »

transformations. Deploy code using CICD pipelines built. Essential Skills Extensive ETL and Data warehousing experience Strong experience in GoLang programming Google Cloud Services and BigQuery ... more »

for Group data consolidation platform built on Google Cloud. - Extensive ETL and Data warehousing experience - Strong experience in GoLang programming - Google Cloud Services and BigQuery Required Skills/Experience - Assess, analyze, data ingestion, transformation & storage layers (RAW, Exploratory, Curated .application) - Understand and provide inputs for STT documents. - Design and more »

Must have experience with building visualisation layer on top of the warehouse eg Power BI. Must have worked with Cloud Database technology like Google BigQuery, Snowflake etc. Should have Experience with Multi-dimensional OLAP cubes to store/reference data in semantic data layer. Asset Management data expertise. Strong more »

for Group data consolidation platform built on Google Cloud. - Extensive ETL and Data warehousing experience - Strong experience in GoLang programming - Google Cloud Services and BigQuery Required Skills/Experience - Assess, analyse, data ingestion, transformation & storage layers (RAW, Exploratory, Curated .application ) - Understand and provide inputs for STT documents. - Design and more »

for Group data consolidation platform built on Google Cloud. - Extensive ETL and Data warehousing experience - Strong experience in GoLang programming - Google Cloud Services and BigQuery Required Skills/Experience - Assess, analyze, data ingestion, transformation & storage layers (RAW, Exploratory, Curated .application) - Understand and provide inputs for STT documents. - Design and more »

Google Tag Manager as well as Server-side Tagging using sGTM. Experience in data visualization tools such as Google Data Studio Working knowledge with BigQuery advantageous. Demonstrable knowledge of client-side development in JavaScript, HTML and front-end debugging. Strong interpersonal skills - experience of dealing with multiple stakeholders at more »

Experience: - Experience working within aglobal organisation - Google Cloud Platform (GCP) - Background using Airflow/Cloud Composer with Python - Cloud-Based data platforms, Snowflake or BigQuery - Advanced SQL - Data Transformation tools, DBT - CI/CD - TDD If you're open to exploring this opportunity and believe your skills align with more »

Experience working within a global organisation - Google Cloud Platform (GCP) - Background using Airflow/Cloud Composer with Python - Cloud-Based data platforms, Snowflake or BigQuery - Advanced SQL - Data Transformation tools, DBT - CI/CD - TDD If you're open to exploring this opportunity and believe your skills align with more »

processes and coordinating release schedules Preferred Qualifications Experience owning/driving roadmap strategy and definition Understanding of data warehouses or Lakehouses, such as on BigQuery, Databricks or Snowflake Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems WHO WE ARE: Do Your Best Work more »

working with partners for GCP transition. Design and deploy data pipelines with automated data lineage. Develop reusable data engineering frameworks using GCP services like BigQuery, DataFlow. Ensure timely migration to GCP. Essential Qualifications: 5+ years of SQL. 3+ years of GCP and its different services. Experience with microservice architecture more »

in Python and SQL Data Engineer Desirable Qualities: Ability to communicate effectively to technical and non technical people Nice to haves includes: Kubernetes, Docker, BigQuery, Cloud, Databases Interest in FinTech Data Engineer Responsibilities: Creating new data pipelines Implementing automated data pipelines and overseeing MLOps processes to streamline the workflow more »

for improving or further leveraging these systems Good Knowledge on NOSQL design and flexible schema definitions with variety of products (Couchbase, Mongo, Cassandra, Postgres,BigQuery ..etc) and data modelling techniques Create conceptual, logical and physical data models with enterprise best practises and standards Worked on OLAP and OLTP applications more »

technology: With a deep understanding of enterprise software environments, especially Cloud/SaaS analytics/Data warehouse and Business Intelligence solutions, applications & technologies including BigQuery, Snowflake, Redshift, and Databricks. Commercial acumen: you are deeply data-driven and care about what moves the needle for pipeline creation, rather than focusing more »

This is an exciting opportunity to join one of Europe's fastest growing health-tech startups, working in a Data team that has made huge steps in moving our innovative platform forwards This role is Hybrid but only requires 1 more »

and transformation with your expertise in cloud-based data services like BigQuery and Dataflow. What will you be doing? Data Engineering in Google BigQuery: Design, build, test, and deploy data models and transformations for efficient data analysis. Utilise BigQuery's capabilities including SQL, stored procedures, indexing, clustering … skills needed: Python Programming: Proficient in building, testing, and deploying production-ready code. SQL Fluency: Experienced in working with relational and cloud databases (e.g., BigQuery, GCP) Data Pipelines: Possess expertise in building and maintaining Extract, Transform, Load (ETL) processes and dataflows. Continuous Learner: Demonstrate a strong desire to learn more »