1 to 25 of 79 Remote 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 ❯

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 ❯

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 ❯

chain teams to embed insight-led decisions Improve tracking setup and support the overall maturity of the analytics function Technical Skills: Strong SQL and BigQuery knowledge Experience with Google Tag Manager (GTM) and understanding of data layers Familiarity with server-side tracking principles Exposure to Power BI or similar More ❯

chain teams to embed insight-led decisions Improve tracking setup and support the overall maturity of the analytics function Technical Skills: Strong SQL and BigQuery knowledge Experience with Google Tag Manager (GTM) and understanding of data layers Familiarity with server-side tracking principles Exposure to Power BI or similar More ❯

chain teams to embed insight-led decisions Improve tracking setup and support the overall maturity of the analytics function Technical Skills: Strong SQL and BigQuery knowledge Experience with Google Tag Manager (GTM) and understanding of data layers Familiarity with server-side tracking principles Exposure to Power BI or similar More ❯

chain teams to embed insight-led decisions Improve tracking setup and support the overall maturity of the analytics function Technical Skills: Strong SQL and BigQuery knowledge Experience with Google Tag Manager (GTM) and understanding of data layers Familiarity with server-side tracking principles Exposure to Power BI or similar More ❯

position, the following experience is required: Strong technical leadership (minimum of 2-3 years at Lead level) Experience across GCP and Google Suite (eg. BigQuery, Google Consul etc) Strong history of Data Engineering and Backend Development with Python Hands-on experience across SQL and other DB technologies This position More ❯

proposals. Skills & experience: 10+ years in digital marketing, with 5+ in analytics or measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Knowledge of privacy-first tracking and evolving More ❯

accuracy (BLEU/ROUGE, human‐in‐the‐loop, automatic hallucination checks). Deploy & monitor services on GCP (Cloud Run, Vertex AI, Pub/Sub, BigQuery) with Terraform, CI/CD, logging, metrics, and alerting. Collaborate closely with product, mobile, and medical SME teams to refine requirements and ship weekly 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 ❯

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 ❯