1 to 25 of 125 dbt Jobs in the UK excluding London

version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package Hybrid working model Company bonus scheme Private ...

data modelling principles Excellent problem-solving skills with a delivery-focused mindset Comfortable working within cross-functional engineering teams Nice to Have Experience with dbt Exposure to streaming technologies such as Kafka Experience within a high-growth SaaS or technology business Familiarity with Infrastructure as Code (Terraform) Experience supporting machine ...

solid understanding of ETL pipelines and data transformation. Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like SparkSQL. Experience with CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow. A collaborative mindset ...

consumption.Experience with MLOps practices: CI/CD for data pipelines, automated testing, and infrastructure as code.Experience with modern data stack tooling — dbt, Airflow, Prefect, or equivalent orchestration and transformation frameworks.Experience with automation tooling such as Power Automate, Power Platform, or equivalent.Relevant certifications in Microsoft Azure, data engineering, or AI/ ...

consumption.Experience with MLOps practices: CI/CD for data pipelines, automated testing, and infrastructure as code.Experience with modern data stack tooling — dbt, Airflow, Prefect, or equivalent orchestration and transformation frameworks.Experience with automation tooling such as Power Automate, Power Platform, or equivalent.Relevant certifications in Microsoft Azure, data engineering, or AI/ ...

consumption.Experience with MLOps practices: CI/CD for data pipelines, automated testing, and infrastructure as code.Experience with modern data stack tooling — dbt, Airflow, Prefect, or equivalent orchestration and transformation frameworks.Experience with automation tooling such as Power Automate, Power Platform, or equivalent.Relevant certifications in Microsoft Azure, data engineering, or AI/ ...

structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience designing and implementing scalable data architectures ...

reporting, insight generation, and future AI/ML initiatives across the business.What You’ll Do• Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. • Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. • Ensure Data Quality: Apply governance, security ...

collaborative environment. Why join? Play a key role in shaping a growing enterprise data platform. Work with modern cloud technologies including Snowflake, dbt and Power BI. Influence data strategy and architecture across a global business. Join a collaborative team focused on innovation, data quality and continuous improvement. Opportunity to work ...

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 as BitBucket Data Warehouse/Kimball methodology Data ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer Reward ...

Scrum or Kanban.Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions.Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies.Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.Unfortunately we are unable to progress ...

publish data from a range of partners into our Snowflake platform. Work with a modern cloud-based technology stack including Azure, Snowflake, Matillion, Python, dbt and OpenFlow. Translate requirements from analysts, data scientists and stakeholders into clear data models and reliable data solutions. Support live pipelines through monitoring, troubleshooting ...

similar BI tooling, and an understanding of how data models feed downstream analytics and reporting. Exposure to analytics engineering practices and tooling (e.g. dbt conceptual patterns, data contracts, semantic layers). Experience in e-commerce or retail data environments is desirable. Familiarity with data mesh or data platform architecture patterns ...

appropriate certifications) with Snowflake and/or MS Fabric experience a bonus. Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life. Hands-on DataOps experience (eg. CI/ ...

with appropriate certifications) with Snowflake and/or MS Fabric experience a bonus.Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life.Hands-on DataOps experience (eg. CI/CD, version ...

environment, within multi-disciplinary teams, delivering modern data platforms into large organisations. Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life Strong Snowflake experience is preferred, and Databricks experience ...

years in a team leadership or mentorship role.Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).Experience ...

Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills Proven experience optimising complex queries Strong understanding of Data Governance, including ...

data preparation specifically geared toward AI model integration Technical Fluency: A strong conceptual understanding of modern data ecosystems, data warehousing, pipeline orchestration tools (e.g., dbt, Airflow), and data governance standards Cross-Functional Communication: Outstanding stakeholder management skills, with a demonstrated ability to foster collaboration between technical developers and non-technical ...

reporting and treasury operations in retail bankingExposure to Python, Go or similar languages.Experience working with orchestration frameworks such as Airflow/LuigiHave previously used dbt, dataform or similar tooling.Used to AGILE ways of working (Kanban, Scrum)The Interview Process:Our interview process involves 3 main stages: 30 minute recruiter call45 ...

engineering environment where data is a strategic priority. Key Responsibilities: Develop, maintain and optimise data pipelines and data products within an AWS, Snowflake and DBT environment. Design and enhance data models that support analytical and operational use cases. Deliver scalable, reliable and performant cloud based data solutions. Collaborate with engineers ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing Vector Databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

Experience with schema versioning, contract testing, and backward‐compatibility strategies Experience building and operating data pipelines on cloud data platforms Strong working knowledge of dbt for data transformations, testing, and documentation Familiarity with Snowflake data modelling, optimisation, and cost‐aware design Understanding of data quality, lineage, and observability concepts ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...