276 to 300 of 464 dbt Jobs in England

with strong command of dimensional modeling (e.g., Kimball methodology) Expertise in Google Cloud Platform, especially BigQuery architecture, optimization, and cost management Advanced SQL skills and production-level experience using dbt (or similar tools) to build modular, testable transformation pipelines Practical mastery of LookML and semantic layer design within Looker, including Explores, joins, derived tables, and scalability best practices It will More ❯

in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such as Looker, Tableau, or Power BI. Benefits included for Data Scientist - Category Management : Comprehensive medical and dental insurance. More ❯

to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and More ❯

to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and More ❯

to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and More ❯

to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and More ❯

to work with a variety of datasets from multiple sources, familiarity with standard data processing tools/concepts (e.g. SQL, ETL), and experience driving robust QA processes Familiarity with DBT is highly valued In-depth experience of the advertising ecosystem (e.g. ad trafficking, Ad servers, DSPs, Media Strategy and Activation, etc.) and a working knowledge of appropriate metrics, measurement, and More ❯

backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement More ❯

backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement More ❯

backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement More ❯

backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement More ❯

backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT, Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement More ❯

strategy. What's important to us Well-connected - You have a strong network in the public sector , particularly in one or more of the central government departments D SIT , DBT, Defra, MoD, and MoJ . You actively expand and nurture your network to uncover early opportunities and convert them into business impact for our clients and Zühlke . Industry-savvy More ❯

I'm looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer tech environment, ideally More ❯

I'm looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer tech environment, ideally More ❯

we’re looking for: Proven experience in Azure cloud engineering and infrastructure automation. Strong knowledge of CI/CD, Kubernetes, Helm, and API management. Experience supporting data platforms (Databricks, dbt, Snowflake). Comfortable working in Agile teams and collaborating with stakeholders. Certifications like Azure Solutions Architect Expert or Terraform Associate are a plus. Why join? You’ll be part of More ❯

we’re looking for: Proven experience in Azure cloud engineering and infrastructure automation. Strong knowledge of CI/CD, Kubernetes, Helm, and API management. Experience supporting data platforms (Databricks, dbt, Snowflake). Comfortable working in Agile teams and collaborating with stakeholders. Certifications like Azure Solutions Architect Expert or Terraform Associate are a plus. Why join? You’ll be part of More ❯

we’re looking for: Proven experience in Azure cloud engineering and infrastructure automation. Strong knowledge of CI/CD, Kubernetes, Helm, and API management. Experience supporting data platforms (Databricks, dbt, Snowflake). Comfortable working in Agile teams and collaborating with stakeholders. Certifications like Azure Solutions Architect Expert or Terraform Associate are a plus. Why join? You’ll be part of More ❯

dive analyses to support strategic initiatives and provide actionable recommendations.Maintain a central insights hub with documented reports and metric definitions. Skills & Experience: Proficiency in SQL and Python; experience with dbt and visualization tools (Lightdash/Looker).Broad product analytics/data science experience in consumer tech.Strong stakeholder engagement and storytelling skills. Send your CV to register your interest. Please note More ❯

is not essential but would be beneficial: Data Orchestration Tools: Familiarity with modern workflow management tools like Apache Airflow, Prefect, or Dagster Modern Data Transformation: Experience with dbt (Data Build Tool) for managing the transformation layer of the data warehouse BI Tool Familiarity : An understanding of how BI tools like AWS QuickSight consume data, and the ability to structure datasets More ❯

is not essential but would be beneficial: Data Orchestration Tools: Familiarity with modern workflow management tools like Apache Airflow, Prefect, or Dagster Modern Data Transformation: Experience with dbt (Data Build Tool) for managing the transformation layer of the data warehouse BI Tool Familiarity : An understanding of how BI tools like AWS QuickSight consume data, and the ability to structure datasets More ❯

JavaScript, ideally with proficiency in other programming languages. experience designing and implementing ETL pipelines, specifically using Apache Airflow (Astronomer). hands-on experience with ETL frameworks, particularly dbt (data build tool). SQL and various database management system skills. a good understanding of different database types, designs, and data modelling systems. experience with cloud platforms like AWS and GCP, including More ❯

tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Experience with dbt or similar data modelling frameworks. Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech More ❯

recent experience working with Suppliers, AR/AP invoices and General Ledger Working knowledge of SQL and the ability to write your own code essential - experience working with Snowflake, dbt and Github strongly preferred Experience working with US data and requirements strongly preferred If you can demonstrate the above knowledge from recent assignments and are soon available for an outside More ❯

Strong SQL skills with experience optimising queries Hands-on experience with Looker (or similar tools such as Tableau, Power BI, or QlikView) Experience in data modelling and familiarity with dbt Excellent communication skills in English Comfortable working autonomously in a fast-paced, international environment Whats on Offer: Competitive compensation, including equity Generous holiday allowance Health and wellbeing benefits Flexible benefits More ❯