51 to 75 of 1,190 BigQuery Jobs in the UK

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 Our benefits Here at North Northamptonshire Council, we're transforming More ❯

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 Our benefits Here at North Northamptonshire Council, we’re transforming More ❯

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 Our benefits Here at North Northamptonshire Council, we’re transforming More ❯

modelling, specifically using star schema methodology, and building performant dimensional models to support high-velocity datasets. Strong experience with Google Cloud Platform (GCP), including BigQuery, Dataflow, Composer (Apache Airflow), Pub/Sub, Cloud Storage, DBT/Dataform, Datastream, and Cloud Run. Experience supporting agile, high-performing engineering teams in More ❯

understanding and bringing clarity to requirements from our diverse range of stakeholders, and supporting their successful delivery using our suite of modern technologies, including BigQuery and Google Cloud Platform. Working closely with our technical teams, product managers and stakeholders, you will build a shared understanding of requirements and their More ❯

data transformation, scripting, and automation. Experience with cloud platforms such as AWS (e.g., S3, Redshift, Lambda) , Azure (e.g., Data Factory, Synapse) , or GCP (e.g., BigQuery, Cloud Functions) . Familiarity with data orchestration tools (e.g., Airflow, dbt) and version control (Git). Solid understanding of data governance, security, and compliance More ❯

data transformation, scripting, and automation. Experience with cloud platforms such as AWS (e.g., S3, Redshift, Lambda) , Azure (e.g., Data Factory, Synapse) , or GCP (e.g., BigQuery, Cloud Functions) . Familiarity with data orchestration tools (e.g., Airflow, dbt) and version control (Git). Solid understanding of data governance, security, and compliance More ❯

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 More ❯

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 More ❯

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 More ❯

dBt, Fivetran, and Tableau (or similar) Strong knowledge of SQL and experience in testing databases and data warehouses with dBt (e.g., Snowflake - Preferred, Redshift, BigQuery) Strong Knowledge of workload automation platforms like Apache Airflow and dBt (Data Build Tool) Familiarity with CI/CD tools (e.g. Azure DevOps – Preferred More ❯

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 More ❯

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 More ❯

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 More ❯

retention analytics, and customer segmentation models Basic experience with predictive modeling techniques (regression models, clustering, or time-series analysis) Familiarity with Python, Snowflake ML, BigQuery ML, or Azure AI for foundational ML applications Experience with BI tools (Tableau, Power BI) for CX reporting and visualization Ability to optimize large More ❯

data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity with CircleCI, Terraform More ❯

years of hands-on experience in data engineering roles Proficiency in SQL and Python programming for data manipulation and pipeline development Experience with Snowflake, BigQuery, Databricks, or equivalent cloud data warehousing platforms Familiarity with data visualization tools (e.g., PowerBI, Tableau) Experience with modern data pipeline tools such as DBT More ❯

and non-technical audiences. Desirable: SnowPro Core or Advanced Certification. Experience with Azure Synapse, Data Factory, and Logic Apps. Experience with GCP (Dataflow and BigQuery) Familiarity with distributed data processing frameworks such as PySpark. Knowledge of Terraform for Infrastructure as Code. Experience developing CI/CD pipelines with tools More ❯

collaboration, including two days in the office each week to connect and build as a team Technologies You'll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Grafana, Linux, Windows, Python, Java What You'll Do Work with Enterprise customers to understand their business, their use cases, and their data More ❯

Product Owner or Data Product Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong More ❯

or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and More ❯

or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and More ❯

or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and More ❯

or AI transformation projects Proven track record in designing and maintaining large-scale data warehouses and data lakes. Expertise in GCP data services including BigQuery, Composer, Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and More ❯

and internal teams Required Experience Proven track record of delivering large-scale data platforms using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing More ❯