76 to 100 of 867 BigQuery Jobs

used backend programming languages (Python, Node.JS, Java, PHP, GO, C#, C++) Familiar with version control tools and proper branching techniques (Gitlab preferred) Experience working with data warehouses (Google Cloud BigQuery), data governance, payments and treasury or capital markets systems So, what's in it for you? Our people are constantly striving to be the best through operational excellence. The More ❯

engage technical and non-technical stakeholders alike. The Head of BI will work within a modern, cloud-based BI ecosystem, including: Data Integration: Fivetran, HVR, Databricks, Apache Kafka, Google BigQuery, Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics More ❯

and non-technical stakeholders alike. The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics More ❯

Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving & Communication: Proven ability to translate complex operational questions into analytical frameworks and communicate findings effectively to stakeholders at all levels Responsibilities Cross More ❯

and non-technical stakeholders alike. The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics More ❯

related STEM field. 3 years of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other modern data transformation frameworks. Ability More ❯

similar scripting languages for data science Experience with data processes and building ETL pipelines Experience with cloud data warehouses such as Snowflake, Azure Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ELT solutions with tools like SSIS, Alteryx, AWS Glue, Databricks, IBM DataStage Strong analytical and technical More ❯

Azure Synapse Azure SQL Azure DataBricks Microsoft Fabric Azure data lake Exposure to other data engineering and storage tools: Snowflake AWS tools – Kinesis/Glue/Redshift Google tools – BigQuery/Looker Experience working with open datasets – ingesting data/building API based queries Here at North Northamptonshire Council, we’re transforming for the better, using all our creativity More ❯

Senior Data Engineer London (Hybrid) We are Manufacturing the Future! Geomiq is revolutionizing traditional manufacturing by providing engineers worldwide with instant access to reliable production methods through our digital platform. As the UK's leading Digital Manufacturing Marketplace, we offer More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

Experience as a Data Product Owner or Product Owner for data/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT More ❯

and encourage applications from those with transferable experience. You’ll ideally bring: Experience building ETL pipelines in Python. Familiarity with analytical data warehouses (e.g. Redshift preferred, or Snowflake/BigQuery). Understanding of orchestration tools such as AWS Step Functions, Airflow, or AWS Batch. Experience working with Agile methodologies. Awareness of automated testing and delivery pipelines. Understanding of metadata More ❯

data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. Preferred Qualifications: Exposure to Agile/Scrum methodologies. Experience with cloud platforms More ❯

Social network you want to login/join with: At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest More ❯

Social network you want to login/join with: At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's third largest More ❯

Solid development experience within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of automated delivery processes Hands on experience of More ❯

Get AI-powered advice on this job and more exclusive features. At Suntory Global Spirits, we craft spirits of the highest quality and deliver brilliant experiences to people around the world. Suntory Global Spirits has evolved into the world's More ❯

About You Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯

needs. Qualifications Strong experience as a Product Owner or Data Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics More ❯