1 to 25 of 197 BigQuery Jobs in the UK excluding London

such as Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern security practices. Strong problem solving skills and the ability to work with ...

such as Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern security practices. Strong problem solving skills and the ability to work with ...

developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration and processing pipelines, ensuring ...

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 ...

clarify requirements and translate them into model updates Skills & Experience You should have: Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power ...

Qualifications & Experience Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong understanding of ELT pipelines and data transformation best practices. Ability ...

months to align legacy stacks with modern standards What they are looking for Technical experience Strong SQL experience with Redshift or BigQuery and exposure to Snowflake or another modern warehouse Proven experience building production dbt models, tests, and environments Solid understanding of dimensional modelling and Kimball principles Experience working ...

clients to present insights and actionable recommendations. Platforms You'll Work With: Google Analytics 4 (GA4) Google Tag Manager (GTM) Google Marketing Platform BigQuery & SQL Looker Studio Tools like Supermetrics, Power BI, Tableau, and CRM systems like Salesforce What We're Looking For: Experience in marketing analytics ...

e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 6 years+ experience as a Data Engineer solving complex ...

. Promote self-service analytics and data literacy across the business. Act as an expert in SQL across technologies like Postgres, Cloud SQL, BigQuery, and Redshift . Build and orchestrate pipelines using Airflow . Support IaC and CI/CD best practices via GitHub. Work closely with data engineers ...

future of cloud-powered, AI-driven analytics with a team operating at the cutting edge of data and marketing tech. You'll work with: BigQuery Cloud Functions Dataflow Analytics Hub Looker Studio APIs & Python What we're looking for: Strong GCP data engineering experience Building & optimising data pipelines/ ...

Google Cloud Storage preferred) Support PyTorch-based workflows, particularly around data loading and dataset management in the cloud Build and optimise data integrations with BigQuery and SQL databases Ensure efficient memory usage and performance when handling large datasets Collaborate with ML engineers to support training and experimentation pipelines (without ...

Cloud Platform (GCP) and serverless architectures. Proficient in JavaScript, TypeScript, Python , and familiar with front-end frameworks like React. Skilled in SQL , data warehousing ( BigQuery ), and data visualisation. Knowledgeable about AI integration , agent frameworks, prompt engineering, and observability tools. Familiar with automation, ETL/ELT, and modern software engineering ...

automated testing and quality assurance practices. Mindset: Demonstrated commitment to continuous learning and excellent communication skills. Good to Have GCP Data Services: Experience with BigQuery , Spanner , Cloud Composer , or Dataflow . Generative AI: Exposure to LangChain , LangGraph , or similar tools; interest in building agentic solutions. ...

Technology/Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 4 years+ experience as a Data Engineer solving complex ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...

Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication ...