4 of 4 dbt Jobs in the South West

an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed understanding of working automated More ❯

Engineering Consultant, key responsibilities: Work cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data and insights Experience working in large development teams More ❯

version of the Full JD. What you’ll do Translate business requirements into scalable, well-structured data models and dashboards. Build and maintain Business Layers and data transformations using dbt , SQL , and BigQuery (GCP) . Develop and refine Tableau dashboards with strong UX and storytelling focus. Own data documentation, lineage, and governance using Atlan . Review and mentor on coding … standards, testing, and best practice. Collaborate with Product, BI, and Data Architecture teams in an Agile setup (Jira). Tech environment dbt | SQL | BigQuery (GCP) | Tableau | Atlan | Git | Jira Ideal profile Expert in SQL and dbt with solid data modelling and warehousing experience. Proven experience delivering production-grade dashboards in Tableau. Strong understanding of data governance and data mesh principles. More ❯

our growing data team. In this role, you'll help design and implement scalable, high-performance data infrastructure using the modern data stack, including Azure Databricks , Azure Data Factory , dbt , SQL , Python , and Power BI . You'll act as the bridge between data engineering and analytics-building robust data models, automated pipelines, and self-service tools that drive decision … engineers, analysts, and stakeholders to deliver clean, trusted, and accessible data. Key Responsibilities: Develop and maintain data pipelines using Databricks and ADF Create dimensional models and transformation workflows using dbt Implement automated data quality checks and monitoring systems Empower business users through self-service analytics using Power BI Document technical processes and uphold coding standards Collaborate with cross-functional teams … deliver on data requirements Mentor junior team members and promote best practices What You'll Bring: 5+ years in data or analytics engineering roles Proficiency in SQL, Python, and dbt Experience with Azure or similar cloud data platforms Strong understanding of data architecture, modelling, and governance Familiarity with CI/CD, Git, and infrastructure as code principles Excellent problem-solving More ❯