25 of 25 dbt Jobs in the North West

data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security, and compliance standards Familiar with cloud More ❯

data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security, and compliance standards Familiar with cloud More ❯

Role Job Description: AWS Services: Glue, Lambda, IAM, Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and Teradata Responsibilities: Serve as the primary point of contact for all AWS related data initiatives and More ❯

Python/Javascript/C# Familiarity with statistical/machine learning/AI concepts and techniques Understanding of data pipeline/orchestration tools e.g. dbt, dataform Appreciation of GCP’s serverless technologies e.g. Cloud Run/Workflows Understanding of Google’s marketing stack, Google Analytics, Google Tag Manager, Google Ads More ❯

have the following skills and experience: Ability and experience interacting with key stakeholders Strong experience in SQL/Python Good understanding of Airflow/DBT Experience with GCP/AWS Background in CI/CD THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to More ❯

Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options More ❯

Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master's or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options More ❯

and performance Techstack: Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

and performance Techstack: Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data More ❯

platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data More ❯

platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data More ❯

platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data More ❯

platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data More ❯

Previous experience managing a small team Confident liasing with stakeholders and presenting to senior management Strong SQL and experience with ETL tools ( e.g. SSIS, DBT, AWS Glue) Solid understanding of data warehousing and data modelling principles Experience with modern platforms like Snowflake or Databricks Great communication skills and experience working More ❯

Databases: Strong knowledge of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis: Advanced data analysis and modelling skills, including statistical analysis and predictive modelling. Modern More ❯

workflows that feed into machine learning features, enhancing the efficiency and accuracy of ML models. Responsibilities: Develop and maintain SQL models and macros using DBT Collaborate with stakeholders to gather and refine modelling requirements Debug and enhance existing data models Design and implement ETL/ELT workflows and data pipelines More ❯

and healthcare data; demonstrated experience using OMOP CDM and Real World Evidence frameworks Proven experience with SQL-based data transformation tools such as SQL, DBT, or custom ETL frameworks Experience in large dataset management, statistical analysis, and machine learning techniques Extensive experience of information analysis, business intelligence and reporting Experience More ❯

and the Private Equity fund. Data governance will be a key focus as you transition four business units onto a modern data stack (Snowflake, dbt, and Power BI), and you will eventually build out a small team to support reporting and analytics across key business areas. Role Overview: Reporting to More ❯

skills and experience with data warehousing solutions such as BigQuery and Snowflake. Proficiency in data modelling and transformation tools such as Data Build Tool (DBT). Familiarity with data visualisation tools such as Power BI, Looker and Tableau. Excellent analytical skills with a strong attention to detail. Ability to communicate More ❯

and deployment. Key Responsibilities Design, build and maintain cloud-based data platform infrastructure (AWS, Azure, or GCP) Deploy and manage modern data tools (e.g. DBT, Airflow, Snowflake) Implement Infrastructure as Code using Terraform Automate deployment pipelines using CI/CD tools, preferably Azure Pipelines Ensure platform stability, scalability, and performance … GCP) Infrastructure as Code expertise using Terraform CI/CD experience (Azure Pipelines preferred) Docker and Linux tooling Exposure to modern data tools (e.g. DBT, Airflow, Snowflake, Redshift) Agile delivery environment experience More ❯

and deployment. Key Responsibilities Design, build and maintain cloud-based data platform infrastructure (AWS, Azure, or GCP) Deploy and manage modern data tools (e.g. DBT, Airflow, Snowflake) Implement Infrastructure as Code using Terraform Automate deployment pipelines using CI/CD tools, preferably Azure Pipelines Ensure platform stability, scalability, and performance … GCP) Infrastructure as Code expertise using Terraform CI/CD experience (Azure Pipelines preferred) Docker and Linux tooling Exposure to modern data tools (e.g. DBT, Airflow, Snowflake, Redshift) Agile delivery environment experience More ❯

ecosystem: We primarily work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if youre not deeply familiar with some of these tools, wed like you … otherwise), particularly for applications in support of customer personalisation Surfacing analytical products into data visualisation platforms (we use PowerBI) via semantic models (ideally within dbt) Improving engineering excellence (enforcement via CI/CD pipelines, KEDBs, SOPs, best practices) Why apply? We believe that diversity fuels innovation. At Pets at Home More ❯

and the Private Equity fund. Data governance will be a key focus as you transition four business units onto a modern data stack (Snowflake, dbt, and Power BI), and you will eventually build out a small team to support reporting and analytics across key business areas. Role Overview: Reporting to … the design and implementation of a modern data infrastructure and reporting framework, migrating from fragmented Excel-based reporting to an integrated stack using Snowflake, dbt, and Power BI. You’ll play a central role in driving commercial analytics and insight generation across product analytics, sales performance, and service delivery metrics … units. Role Requirements: 4+ years’ experience in analytics engineering or data analytics, with strong SQL and data modelling skills. Proven hands-on experience with dbt and Snowflake is essential, along with strong Power BI (or similar) skills to build scalable reporting tools. You’ll need excellent stakeholder management experience across More ❯

Join us as a Senior Data Solution Designer at Barclays, supporting the BUK Data Foundations Programme. You will help design patterns for various use cases as we migrate from on-premise warehouses to Cloud. Collaborate with Data Product Owners, Platform More ❯