1 to 25 of 112 BigQuery Jobs in the UK

solver who thrives in a fast-paced environment and is excited about making an impact. Knowledge of data warehousing concepts and tools (e.g., Redshift, BigQuery) is a plus. What’s In It For You: A chance to work on exciting projects that make a difference in people’s lives. more »

will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS or Azure services. Data Platforms: Databricks, Redshift, Snowflake or BigQuery SQL or Python development. Experience with Java, Scala, C#, and JavaScript would be advantageous Assist data governance and security best practices to ensure compliance more »

of cloud platforms such asAWS, Azure andGCP (AWS is preferred). Desirable but not essential expertise in the following: Data Warehousing - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse. A good understanding, and practical experience, of analytical data modelling techniques is essential (e.g. dimensional modelling, data vault, etc more »

in everything you do Desirables Bachelor’s degree in computer science or related field Experience with the Google Cloud Platform/Data Stack including: BigQuery Cloud Functions Cloud Storage Pub/Sub IAM Management Looker Data Studio Coding experience with Python/Javascript/C# Familiarity with statistical/ more »

years of hands-on experience using Python specifically for data processing tasks. Proven experience with Google Cloud Platform (GCP) and its data services (e.g., BigQuery, Dataflow, Pub/Sub). Strong understanding of data engineering concepts, including ETL processes, data warehousing, and data modeling. Familiarity with SQL and experience more »

such as Python, SQL, or other data-related languages. Experience with cloud services (e.g., AWS, Google Cloud, Azure) and data storage solutions (e.g., Redshift, BigQuery). Familiarity with data engineering tools and frameworks (e.g., Apache Spark, Kafka, Airflow). Strong problem-solving skills and a passion for working with more »

understanding of cloud platforms such as AWS, Azure and GCP (AWS is preferred). Desirable expertise in the following: Data Warehousing - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse. A good understanding, and practical experience, of analytical data modelling techniques is essential (e.g. dimensional modelling, data vault, etc more »

with regulatory requirements related to financial crime (such as AML/KYC) Knowledge of cloud-based database solutions such as AWS Redshift or Google BigQuery Strong organizational skills Qualifications Bachelor’s degree in computer science, information technology, or a related field Five years of relevant experience in logical data more »

and modelling. Experience with SQL-based platforms such as Microsoft SQL Server, MySQL, or PostgreSQL. Familiar with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake. Ability to design and develop interactive dashboards and reports that meet business needs. Experienced with Python or R for data analytics and more »

solutions with Pub/Sub or Kafka, ensuring low-latency processing and real-time analytics capabilities. Data Warehouse Optimisation & Modelling : Set up and optimize BigQuery, SQL, DBT models, and VertexAI workflows for advanced data transformations and machine learning model serving. Data Visualization : Collaborate with stakeholders to define requirements and more »

Qualifications Experience with Media & Entertainment industry or manufacturing/distribution of packaged media. Experience with modern reporting and analytics technologies and platforms (Snowflake, Google BigQuery, Python, Airflow, Power BI, MicroStrategy, Looker) Enjoys learning new technologies and partnering with development teams to implement solutions. Ability to effectively collaborate with teams more »

software development lifecycle in analytics (e.g. version control, testing, and CI/CD) in fast-paced environments. * Experience with cloud data warehouses especially Google BigQuery but also Snowflake * Python & SQL master: Wrangle & transform data with ease. * Experience with data architecture is a big advantage * Good communications skills both verbally more »

Agent (OPA) to enforce security, compliance, and governance policies. Cloud Platforms & Services : In-depth knowledge of AWS services including Compute Engine, Kubernetes Engine (GKE), BigQuery, Cloud Functions, and IAM. Experience with AWS cloud services and architecture best practices. Security : Strong understanding of cloud security principles, identity and access management more »

expertise in Infrastructure as Code (IaC), with advanced skills in Terraform and proficiency in Cloud Deployment Manager. Strong expertise in GCP services such as BigQuery, Cloud SQL, Pub/Sub, Cloud Functions, Dataplex, and Kubernetes Engine. Advanced knowledge of GCP networking concepts including VPCs, hybrid connectivity, DNS, and network more »

segmentation, time series analysis and have had hands-on experience in their application. Experience using cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery etc is advantageous Understand the importance of Data Governance and good Data Quality. Strong attention to detail and willingness to take the time to more »

in data modelling techniques (dimensional modelling, star schema, etc.). Proficiency in SQL and experience with data warehouse platforms (e.g., Snowflake, AWS Redshift, Google BigQuery). Knowledge of data integration tools and technologies. Experience with cloud-based data warehousing solutions is highly desirable. Person Specification Qualifications Essential Degree level more »

projects for enterprise clients, including: ETL Pipelines : Build ETL pipelines using tools like Fivetran or custom Python solutions. Data Models : Design models typically using BigQuery or Snowflake . BI Dashboards : Build and maintain dashboards using Tableau , Power BI , or Looker to provide actionable insights. Adoption : Monitor dashboard usage and 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 »

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 »

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 »

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 »