151 to 175 of 1,155 BigQuery Jobs in the UK

infrastructure as code (IaC), automation, CI/CD pipelines, and application modernization on GCP. Serve as a subject matter expert on various GCP services, including Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, IAM, and more. Troubleshoot and resolve complex technical issues, providing expert guidance to project teams. Quality Assurance and Best Practices: Conduct regular reviews of project deliverables to … Solid understanding of networking principles and their application within GCP. Experience with containerization technologies (Docker, Kubernetes/GKE). Familiarity with data management and analytics services on GCP (e.g., BigQuery, Cloud Dataflow, Cloud Storage). Strong understanding of identity and access management (IAM) within GCP. Familiarity of different Cloud Platform like AWS, Azure is nice to have Consulting and More ❯

infrastructure as code (IaC), automation, CI/CD pipelines, and application modernization on GCP. Serve as a subject matter expert on various GCP services, including Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, IAM, and more. Troubleshoot and resolve complex technical issues, providing expert guidance to project teams. Quality Assurance and Best Practices: Conduct regular reviews of project deliverables to … Solid understanding of networking principles and their application within GCP. Experience with containerization technologies (Docker, Kubernetes/GKE). Familiarity with data management and analytics services on GCP (e.g., BigQuery, Cloud Dataflow, Cloud Storage). Strong understanding of identity and access management (IAM) within GCP. Familiarity of different Cloud Platform like AWS, Azure is nice to have Consulting and More ❯

infrastructure as code (IaC), automation, CI/CD pipelines, and application modernization on GCP. Serve as a subject matter expert on various GCP services, including Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, IAM, and more. Troubleshoot and resolve complex technical issues, providing expert guidance to project teams. Quality Assurance and Best Practices: Conduct regular reviews of project deliverables to … Solid understanding of networking principles and their application within GCP. Experience with containerization technologies (Docker, Kubernetes/GKE). Familiarity with data management and analytics services on GCP (e.g., BigQuery, Cloud Dataflow, Cloud Storage). Strong understanding of identity and access management (IAM) within GCP. Familiarity of different Cloud Platform like AWS, Azure is nice to have Consulting and More ❯

building and operating large-scale data platforms on Google Cloud Platform, with a focus on data quality at scale. Hands-on expertise in core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage principles. Experience with BI and More ❯

building and operating large-scale data platforms on Google Cloud Platform, with a focus on data quality at scale. Hands-on expertise in core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage principles. Experience with BI and More ❯

a) Migration of portfolio from our UW legacy CRM system to Gentrack. b) Build extract scripts to pull data from Gentrack Junifer database and load the data into UW BigQuery data warehouse to assist with management, regulatory, operational and other reports. This role will be particularly focussed on (b) above and will include: interpreting Junifer data models, build ETL … scripts, and populate energy data models in our UW BigQuery environment. We deliver progress. What you’ll do and how you will make an impact. This role would need: Experience in data migration projects (ideally energy platform migration). Experience in Gentrack Junifer application/… data models. Experience in building data warehouse data models. Proficient in SQL as both data extraction scripts and data loading scripts will be sql based. Experience working with Google BigQuery and Dataform environments. Experience in working collaboratively with a multitude of teams to meet the timelines and deliverables. What you’ll do Analyse Gentrack Junifer data models to understand More ❯

that unlock predictive insights and drive meaningful outcomes. What will I be doing? Design, build, and maintain automated data pipelines using Python and SQL across platforms like Databricks, Google BigQuery, and Airflow. Manage secure and efficient data ingestion from third-party APIs, ensuring reliability and scalability. Develop and optimise both normalised and denormalised data models for performance, usability, and … learning-focused culture. What do I need? Proficient in Python for data engineering workflows and advanced SQL for complex data manipulation. Hands-on experience with Airflow, Databricks, and Google BigQuery in managing scalable data pipelines. Highly skilled with APIs and transforming large datasets efficiently and securely. Strong understanding of data modelling (normalised and denormalised structures) and performance optimisation. Effective More ❯

findings in written form or presentation. High proficiency of how to use and explore data generated by Google Ads, Google Search Console, GA4. Confident in all aspects of Google BigQuery, but particularly crafting complex, multiple CTE queries. Comfortable with sophisticated A/B testing, from quick tactical tests, to developing extensive frameworks for larger-scale marketing conclusions. Power BI More ❯

using Tableau, Amplitude, and Google Sheets. Create clear, compelling reports that translate data into actionable business recommendations. Use Dataform to transform raw data into structured, usable datasets in our Bigquery data warehouse. Contribute to the development of source-of-truth data models. Maintain and optimize scalable data pipelines. Qualification & Experience Must haves: 3+ years in data analytics Strong proficiency More ❯

modelling, data warehousing, and advanced SQL query crafting. Skilled in ETL processes, preferably with tools like dbt and Sigma. Experienced with cloud platforms and database technologies, particularly GCP and BigQuery Python proficiency is desirable, but not mandatory. Experience working with AI, or interest in AI products. Here’s what your role will entail: Extract and integrate data from diverse More ❯

insights. Experience in data visualisation and the use of BI packages to produce compelling visual outputs. Experience in the following or similar: Google Analytics 4 Google Tag Manager Google BigQuery Looker (formerly Google Data Studio) Google Analytics for Firebase Microsoft Power BI Working in Public Cloud environment, preferably Azure. SQL and Python programming languages Multichannel communications platforms like Optimove More ❯

our dynamic team. The ideal candidate will have a strong background in SQL, Power BI, and Excel, with a passion for turning complex data into actionable insights. Experience with BigQuery, Python, and eCommerce analytics will be a significant advantage. Key Responsibilities · Analyse large datasets to identify trends, patterns, and actionable insights. · Develop and maintain dashboards and reports using Power … Advanced Excel skills, including pivot tables, complex formulas, and data analysis tools. · Strong analytical and problem-solving abilities. · Excellent communication and presentation skills. Nice to Haves · Experience with Google BigQuery for cloud data analysis. · Knowledge of Python for data analysis and automation. · Previous experience in an eCommerce environment. · Familiarity with A/B testing and digital marketing analytics. · Bachelor More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

with you ideally also being familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you’ve worked with any of 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 ❯

Nice to have Proficiency in Data Modelling, building high quality datasets and products Experience in Python Experience with DBT, Airflow, Dagster or similar tools Experience with Google Cloud Platform (BigQuery, Spark) Background in online trading or related financial sectors Benefits State-of-the-art technologies (Power BI, Metabase, BigQuery, Dagster, DBT, Datahub, Spark, Python, SQL) A collaborative and More ❯

ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a More ❯

Tool selection, cost management and team management Experience required: Experience in building and scaling BI and Data Architecture Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI etc Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow Experienced in Cloud based solutions (Azure, AWS or Google More ❯

making, leveraging cloud data services. Ensure data accuracy, integrity, and security within cloud environments. Key Skills & Experience: Proficiency in SQL and cloud data warehousing solutions (e.g., Amazon Redshift, Google BigQuery). Experience with cloud BI tools (e.g., Power BI, Tableau, Looker). Strong analytical and problem-solving skills focused on cloud data solutions. Knowledge of ETL processes and cloud More ❯

Tool selection, cost management, and team management. Experience required: Experience in building and scaling BI and Data Architecture. Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI, etc. Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud-based solutions (Azure, AWS, or Google). #J More ❯

or similar. Experience with ScaNN or other approximate nearest neighbor (ANN) techniques for vector similarity search. Hands-on experience with Google Cloud Platform (GCP) tools such as Vertex AI, BigQuery, and Dataflow. Strong problem-solving and communication skills, including the ability to work with clients and cross-functional teams. Preferred to Have: PhD in Computer Science, AI/ML More ❯

cross-functional team combining Business Intelligence, DevOps, FinOps, Data Science, and Software Development; Working within Agile SCRUM methodologies and the Atlassian toolchain (JIRA, Confluence, GitHub, Git); Using Python, Java, BigQuery SQL, and Google Cloud Platform services like Cloud Build, Data Transfers, Workflows, Schedulers, and Functions to build our state-of-the-art cloud data warehouse; Utilizing dbt Cloud, Terraform More ❯

Experience programming for analytics such as in Python or R. An understanding of basic programming principles such as names, types, lists, arrays, control flow, exceptions. We use Google cloud, BigQuery, Github, Tableau, Looker - experience in these or similar technologies is preferred. Let’s talk about what’s in it for you We’ll pay you between £45,000 and More ❯