1 to 25 of 51 BigQuery Jobs in Manchester

But if not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity More ❯

But if not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity More ❯

But if not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity More ❯

in a commercial data engineering or related role Skilled in SQL and data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data More ❯

in a commercial data engineering or related role Skilled in SQL and data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data More ❯

experience in data engineering or analytics engineering, preferably in a high-transaction environment. Strong SQL skills and experience with data warehousing solutions such as BigQuery and Snowflake. Proficiency in data modelling and transformation tools such as Data Build Tool (DBT). Familiarity with data visualisation tools such as Power More ❯

experience in data engineering or analytics engineering, preferably in a high-transaction environment. Strong SQL skills and experience with data warehousing solutions such as BigQuery and Snowflake. Proficiency in data modelling and transformation tools such as Data Build Tool (DBT). Familiarity with data visualisation tools such as Power More ❯

in Looker (dashboarding, advanced LookML). Proven experience mentoring junior developers in LookML/BI development. Strong SQL proficiency with cloud data warehouses (e.g., BigQuery ). Solid understanding of data warehousing and modelling. Proven background in marketing data and analytics (e.g., campaign performance, web analytics). Experience translating business More ❯

in Looker (dashboarding, advanced LookML). Proven experience mentoring junior developers in LookML/BI development. Strong SQL proficiency with cloud data warehouses (e.g., BigQuery ). Solid understanding of data warehousing and modelling. Proven background in marketing data and analytics (e.g., campaign performance, web analytics). Experience translating business More ❯

in Looker (dashboarding, advanced LookML). Proven experience mentoring junior developers in LookML/BI development. Strong SQL proficiency with cloud data warehouses (e.g., BigQuery ). Solid understanding of data warehousing and modelling. Proven background in marketing data and analytics (e.g., campaign performance, web analytics). Experience translating business More ❯

solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data More ❯

SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams More ❯

supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams More ❯

supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams More ❯

Proficient in version control tools (ideally Git) Agile environment experience Desirable Skills/Experience: Experience in the retail industry Experience with GCP (Dataflow and BigQuery) Experience creating CI/CD pipelines If this Data Engineer opportunity is of interest, then please apply here More ❯

Proficient in version control tools (ideally Git) Agile environment experience Desirable Skills/Experience: Experience in the retail industry Experience with GCP (Dataflow and BigQuery) Experience creating CI/CD pipelines If this Data Engineer opportunity is of interest, then please apply here More ❯

candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would More ❯

complex data sets Excellent communication and presentation skills with the ability to convey technical information to non-technical stakeholders Proficiency in SQL (we use BigQuery so previous experience would be beneficial), Excel, and working with data visualisation tools Strong attention to detail with the ability to prioritise and manage More ❯

complex data sets Excellent communication and presentation skills with the ability to convey technical information to non-technical stakeholders Proficiency in SQL (we use BigQuery so previous experience would be beneficial), Excel, and working with data visualisation tools Strong attention to detail with the ability to prioritise and manage More ❯

complex data sets Excellent communication and presentation skills with the ability to convey technical information to non-technical stakeholders Proficiency in SQL (we use BigQuery so previous experience would be beneficial), Excel, and working with data visualisation tools Strong attention to detail with the ability to prioritise and manage More ❯

with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free Certification More ❯