1 to 25 of 127 Permanent BigQuery Jobs in the Thames Valley

pipelines. Work with Python and SQL for data processing, transformation, and analysis. Leverage a wide range of GCP services including: Cloud Composer (Apache Airflow) BigQuery Cloud Storage Dataflow Pub/Sub Cloud Functions IAM Design and implement data models and ETL processes. Apply infrastructure-as-code practices using tools 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 ❯

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 SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯

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 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 ❯

Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands-on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles More ❯

fostering a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and workflow More ❯

familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you More ❯

familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you More ❯

familiar with the auditing process to verify the efficacy of the data being captured. Naturally you’ll be comfortable working with SQL and ideally BigQuery (though a similar data warehousing technology is fine) with PowerBI experience being a big bonus, though by no means essential. Bonus points if you More ❯

and mobile app development, SQL, ETL or data pipelines, and data analysis. You have experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. You have experience with AWS, GCP, and/or Azure cloud services. You have strong technical skills and experience with More ❯

expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You You More ❯

Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will More ❯

Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Application Architecture & Security Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security controls, including IAM More ❯

current with the rapidly evolving landscape Proficient with Business Intelligence (BI) tools (e.g., Power BI, Tableau, Looker) and data platforms (e.g., SQL, Snowflake, Google BigQuery) Experience with learning management systems (LMS) and education data standards (e.g., xAPI, LTI, SCORM) Strong analytical mindset with the ability to communicate complex insights More ❯

current with the rapidly evolving landscape Proficient with Business Intelligence (BI) tools (e.g., Power BI, Tableau, Looker) and data platforms (e.g., SQL, Snowflake, Google BigQuery) Experience with learning management systems (LMS) and education data standards (e.g., xAPI, LTI, SCORM) Strong analytical mindset with the ability to communicate complex insights More ❯

with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated More ❯

external clients. Strong hands-on experience using SQL for multi-step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This 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 ❯