6 of 6 Permanent dbt Jobs in Bristol

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 ❯

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 ❯

level/Enterprise Data Architect in a regulated, client-focused environment (ideally financial services) Strong understanding of data governance frameworks, data quality, and compliance Hands-on experience with Snowflake, DBT, and an awareness of the wider vendor landscape (e.g., Adobe, Braze, etc.) Ability to design and author data architecture standards, models, and strategy Sound knowledge of modern data architecture approaches More ❯

Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ … Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics (e.g. attribution, funnel metrics) What They Offer Competitive More ❯

scripting languages like Python, particularly in data engineering tasks like data processing, automation, and integrating with external systems (e.g., APIs, databases). o Hands-on experience with DBT (Data Build Tool) for building, testing, and documenting analytical data models. o Strong understanding of data modelling concepts (star/snowflake schema, slowly changing dimensions). o Experience integrating DBT with CI More ❯

serve major UK brands and internal teams alike. What you’ll be doing: Lead the design and build of secure, scalable data pipelines using Azure Data Factory , Snowflake , and DBT Collaborate across Product, BI, Cloud, and IT to deliver data solutions that power real-world impact Optimise performance, enforce governance, and ensure seamless integration of APIs, external systems, and databases … from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability to deliver efficient More ❯