51 to 75 of 135 BigQuery Jobs in the UK

software engineering using a broad range of technologies including the following: Java or Python Microservices Data pipelines and database programming such as DBT, SQL, BigQuery, Cloud Composer etc CI/CD/DevOps tooling experience e.g., GIT, Jenkins etc What you'll get to learn (any previous experience would more »

software engineering using a broad range of technologies including the following: Java or Python Microservices Data pipelines and database programming such as DBT, SQL, BigQuery, Cloud Composer etc CI/CD/DevOps tooling experience e.g., GIT, Jenkins etc What you'll get to learn (any previous experience would more »

technologies, and best practices Experience using Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Deltalake, BigQuery, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache … Kafka, Power BI, BigQuery, Azure ML is a plus Experience with Azure SQL Database, Cosmos DB, NoSQL, MongoDB Experience with Agile, DevOps methodologies Awareness and knowledge of ELT/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (Public Key Infrastructure) and Integration testing Skills and Abilities more »

Manager. There will be opportunities for learning but if you have experience or knowledge of other analytics platforms, programming languages such as Python or BigQuery, this will be beneficial in excelling within this role. Strong communication skills and a motivated approach to learning, development, and direction are key to 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 »

provide solid recommendations and reports to the senior leadership team, highlighting key metrics for performance across all products and services. Use Big SQL/BigQuery for complex data analysis, utilise Firebase and Google Analytics and leverage Looker Studio for visual reporting and insight. Spearhead app attribution processes, identifying and more »

selected candidate will also be focusing on building, 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 »

Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs) and cloud technologies - AWS, Redshift, S3, Athena, GCP, BigQuery Experience of using git for version control (e.g. BitBucket) Experience with Jupyter Notebooks Competencies Enquiring/questioning mind Ability to pick up new tools 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 »

working with large and complex data sets to extract insights and identify trends Exposure to cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. A proven background in paid media measurement and web analytics for customer journey purposes Strong technical skills with Google Analytics (GA) or Adobe more »

of opportunities Create GA4 tracking specs and troubleshooting YOUR SKILLS AND EXPERIENCE Extensive experience working with GA4 and Google Tag Manager Strong SQL and BigQuery skills Experienced in a visualisation tool such as Looker, Power BI, or Tableau Excellent stakeholder management and communication skills BENEFITS Up to 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 »

SQL and working with large and complex data sets You've had some exposure to cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc You have experience of marketing campaign design and analysis, working with customer data to find key insights to inform and drive change within more »

SQL and working with large and complex data sets You've had some exposure to cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc You have experience of marketing campaign design and analysis, working with customer data to find key insights to inform and drive change within 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 »

API architectures (API patterns, security approaches, Spring, integration) Exposure to as many as possible of: UI frameworks (e.g. React, Angular, mobile), Databases (e.g. Postgres, BigQuery), Integration (e.g. API, gRPC, Events), Data processing (e.g. Spark, BQ SQL, or other), Decision Systems (e.g. Power Curve, SAS ID, InRule) Proven ability to more »

API architectures (API patterns, security approaches, Spring, integration)Exposure to as many as possible of: UI frameworks (e.g. React, Angular, mobile), Databases (e.g. Postgres, BigQuery), Integration (e.g. API, gRPC, Events), Data processing (e.g. Spark, BQ SQL, or other), Decision Systems (e.g. Power Curve, SAS ID, InRule)Proven ability to 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 »

your clients' needs, developing long-lasting relationships and helping them navigate and solve technical challenges in the AdTech ecosystem. Familiarity with JavaScript, Google Cloud, BigQuery, SQL, Looker Studio or Adobe Analytics is advantageous, but not mandatory. When faced with a problem, you collaborate with the appropriate people to evaluate more »

your clients' needs, developing long-lasting relationships and helping them navigate and solve technical challenges in the AdTech ecosystem. Familiarity with JavaScript, Google Cloud, BigQuery, SQL, Looker Studio or Adobe Analytics is advantageous, but not mandatory. When faced with a problem, you collaborate with the appropriate people to evaluate more »

wider Data Governance and Quality frameworks SKILLS & EXPERIENCE: To be considered you MUST have experience in the following: Hands-on Data analysis skills(SQL, BigQuery, Snowflake(or equivalent), Power BI, Google Analytics(GA4 ideally)) First-hand experience working in a customer-led digital product organization(Ideally Gambling, Gaming, or more »

for the data warehouse development team. Managing, prioritising and monitoring team work streams. Developing processes and standards for Ab Initio ETL product. Managing the BigQuery database platform. Gaining an intimate and detailed knowledge of the Business processes and data structures. Developing departmental standards and enforcing the adherence to the 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 »