1 to 25 of 195 BigQuery Jobs in the UK excluding London

Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with ...

data mapping, migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads/SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/ ...

MySQL) or NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., S3, Redshift, BigQuery). Leadership and team management skills Experience with CI/CD best practices & IaC Experience with data modelling, data governance, data quality, and data ...

Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering ...

Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using AI tools ...

Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using AI tools ...

uphold data governance standard practices. Qualifications & Skills Advanced SQL: Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory ...

confidence reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable ...

best practices and capability development. Supporting innovation and the adoption of new technologies across projects. Your Skills & Experience Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment. Advanced SQL, data modelling, cloud data warehousing ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake . Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security ...

maintain data models to support analytical and operational requirements. Manage and optimise cloud and data storage solutions, including Amazon S3, Azure Blob Storage, BigQuery, and Snowflake. Contribute to data management standards, policies, governance frameworks, and best practices. Support data synthesis and anonymisation activities to ensure compliance, security, and appropriate ...

stakeholder engagement and communication skills Experience working within Agile delivery environments Desirable Experience: Google Cloud certifications Experience with Docker or containerisation technologies Exposure to BigQuery, Spark, Dataproc, or similar technologies Knowledge of DataOps and DevOps practices Understanding of UK GDPR and data governance principles #J-18808-Ljbffr ...

analytics engineering best practices. * Experience with source control, CI/CD, and modern development practices. * Excellent stakeholder management and communication skills. Desirable: * Google Cloud, BigQuery, dbt, Looker, or similar modern data stack technologies. * Cloud or analytics certifications. * Experience in fast-paced, project-driven environments. What's on Offer ...

technical business users. Delivery Frameworks: Comfortable working within Agile and Waterfall project delivery methodologies. Desirable: Cloud Infrastructure: Hands-on experience with Google Cloud Platform (BigQuery, GCP storage) or equivalent cloud providers (AWS/Azure). Programming Languages: Proficiency in Python, R, or general-purpose scripting languages. Analytics Tools: Exposure ...

analytical workloads leveraging leading cloud technologies (AWS, GCP, Azure). ENABLE hybrid cloud transformation – design and implement modern hybrid data architectures (e.g., Snowflake, Redshift, BigQuery) and drive migration of legacy systems to cloud-native solutions to unlock agility and performance. OPTIMISE AND SECURE cloud environments – evaluate cloud environments ...

leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We **OPTIMISE** and **SECURE** cloud environments – You will evaluate ...

. What you'll be doing Design and build scalable ETL/ELT data pipelines across multiple enterprise data sources Develop data solutions using BigQuery, Google Spanner, Neo4j and vector databases Build and maintain Knowledge Graphs connecting enterprise entities, systems and knowledge assets Develop and optimise search indexing ...

Experience with experimentation and optimisation frameworks Python/R or exposure to advanced analytics Experience with modern data platforms (such as Azure, Databricks, Snowflake, BigQuery) Additional Information Salary£65,000 - £75,000 (based on experience) + benefits package Location: Hybrid working with onsite travel tothe office in Basingstoke. Candidates ...

successful Data Engineering Lead will have the following skills and experience: Strong SQL and Python skills Experience working with cloud data warehouses, ideally BigQuery Knowledge of dbt or similar transformation frameworks Experience building and maintaining data pipelines and ETL/ELT processes Exposure to BI and dashboarding tools, particularly ...

Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience: 5+ years ...

Data Governance and Data Classification policies. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Python CI automation systems such as Jenkins A git‐based source control system such as BitBucket Data ...

Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years ...

Data Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...