101 to 117 of 117 BigQuery Jobs in the UK

paced startup/scale up environment. Having previously worked within a data engineering team you are familiar with cloud-based data warehouses such as BigQuery and Snowflake, as well as the principles of a modern data lake based on Apache Avro and ParquetExperience managing data platforms as a product more »

opportunity you would like to apply to, please review the necessary competencies below: Knowledge of ETL, Analytics & Data Warehousing Experience with Cloud, AWS, Snowflake, Bigquery Experience in building a data driven culture, in the form of self-serve analytics Previous hands on experience in building a best in class more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »

of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems 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 »

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 »

and CRO Analysts Speaking with internal stakeholders to explain challenges, solutions, and areas of growth Utilising skills in Google Analytics/Adobe Analytics and BigQuery YOUR SKILLS AND EXPERIENCE Experienced with Adobe Target and Optimzely Client-facing experience – being able to manage and develop clients A background in analytics more »

developing or maintaining web-based applications (html, css, Javascript frameworks such as Angular, React) Cloud (GCP or AWS) and popular cloud Big Data tools - BigQuery, Dataflow, Looker Containerisation (Docker or similar) and orchestration (k8s) Experience of processing biological archive data Tests and CI/CD Apply now! Benefits and more »

some experience using other languages such as Python or R. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. Experience of marketing campaign design and analysis is essential, working with customer data to find key insights to inform and drive more »

Brio Digital are happy to be supporting a data consultancy who are currently looking for an analytics engineer. The role will be hybrid with 2x days per week on-site in London. Salary; Up-to £80,000. Analytics Engineer Experience more »

performance. l Proficient in data modeling and data warehousing. l Multiple years of experience with GCP, especially with core processing and orchestration products like BigQuery, DataFlow, DataFusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer. l Strong problem-solving skills and a meticulous approach to code reviews. l Proven 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 »

Services (AWS) (e.g., S3, RDS, Redshift, Athena), Microsoft Azure (e.g., Blob Storage, SQL Database, Data Lake Analytics), or Google Cloud Platform (e.g., Cloud Storage, BigQuery). Deep understanding of cloud computing concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data more »

minded, with the wider business goals in mind Strong experience with GA4/Universal Analytics is essential Experience working with SQL and/or BigQuery is desirable Working with visualisation tools such as Power BI You will love working collaboratively and cross-functionally! Confident in presenting insights and recommendations more »

and have had hands-on experience in their application. You've had some experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc. Proven experience of working with customer data. You've a strong commitment to accuracy and rigour in the analysis produced. You are empathetic more »

segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. You've a track record of taking data science products from conception through to deployment in production. You've had experience 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 »