26 to 50 of 110 BigQuery Jobs in the UK

and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, Snowflake). Familiarity with BI tools (e.g., Power BI, Tableau, etc.) Strong understanding of database management systems (DBMS). Knowledge of data warehousing concepts 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 »

and self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on Generative AI are beneficial. more »

solution independently. Required Skills and Experience: Extensive experience in: Data Warehousing Data Engineering, overall Data Analytics Data Visualisation Proficiency in: Google Cloud (GCP) GCP BigQuery Python DBT or similar FastAPI or similar Airflow or similar Desirable: Google Apigee (as an application developer) Exposure to Machine Learning projects Exposure to 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 »

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 »

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 »

Demonstratable commercial experience working on Data Pipelines, Data Warehouse, and ETLs. Strong Python coding skills GCP experience (GCP Datastream, Pub/Sub, Dataflow, Dataform, BigQuery) Experience with modern development methods and tooling: containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab more »

is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you'll get in return: Salary up to £120,000 dependant on experience Share Program Flexible working 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 »

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 »