151 to 175 of 429 dbt Jobs in England

platforms (e.g. Databricks, Azure, AWS or GCP native stacks)Experience with platform observability and CI/CD for data platformsHands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or AirflowHistory of supporting pre-sales activities in a product or consultancy-based businessWhat Kubrick offers:We are a fast moving and fast growth business which is doing More ❯

make customer-centric work possible - providing foundational tooling like address lookup and consent capture, and offering more advanced capabilities like our internal event stream platform and a fully-managed DBT environment. Our services help teams track behavioural signals, enrich customer profiles, and transform raw data into decision-ready insight - all while maintaining a strong focus on data protection. We primarily More ❯

Skills-Snowflake,DBT,Airflow, Data Modelling,SQL Mode-Hybrid-4 Days Location-Manchester Mandatory Skills Possess good knowledge in Cloud computing Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge in Snowflake Architecture Very good working knowledge in Snowflake internals More ❯

on tribal knowledge and manual interventions. Enabling future scalability by establishing robust, modular foundations Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Lead Data Engineer/Tech More ❯

Semantic Models). Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs). Proven experience building ETL/ELT pipelines using tools such as SSIS , dbt , or Airflow . Solid understanding of database administration , tuning, and performance optimisation across MSSQL and PostgreSQL . Key Responsibilities: Design and maintain data models that meet business requirements, ensuring scalability More ❯

Semantic Models). Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs). Proven experience building ETL/ELT pipelines using tools such as SSIS , dbt , or Airflow . Solid understanding of database administration , tuning, and performance optimisation across MSSQL and PostgreSQL . Key Responsibilities: Design and maintain data models that meet business requirements, ensuring scalability More ❯

high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data architectures. Analytics & Insights: Deliver automated More ❯

high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data architectures. Analytics & Insights: Deliver automated More ❯

high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data architectures. Analytics & Insights: Deliver automated More ❯

high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data architectures. Analytics & Insights: Deliver automated More ❯

high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data architectures. Analytics & Insights: Deliver automated More ❯

wide reporting rollout Predictive modelling and segmentation F&B and digital journey optimisation Tech environment GCP - data warehouse and pipelines Power BI/Omni - visualisation and exploration SQL, Python, DBT, Docker Exposure to web & app event tracking and modern data tooling About you Proven leadership of data teams in modern cloud environments. Skilled in stakeholder management and translating data into More ❯

Lead Data Engineer - Python, SQL, GCP, Kubernetes, DBT, Airflow and BigQurey OB have partnered with a leading scale-up business in the AdTech space, where Data is at the forefront of everything they do, and they are currently hiring for a Lead Data Engineer to join their team and work on the development of their Data platform click apply for More ❯

with both technical and non-technical stakeholders. Curious, collaborative, and impact-driven — you enjoy turning data into action. Experience working with cloud-based data environments (BigQuery, GCP); exposure to dbt or Dataform is a plus. Experience with Python is desirable. This is a 6 month contract. It is a hybrid role, based in central London 1-2 days per week. More ❯

background in data engineering Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . This is a great opportunity for a senior data professional who enjoys being hands-on while More ❯

month contract with an immediate start and scope for extension on a greenfield project. The rate available for this position is: £550-565pd outside IR35. Requirements : Databricks DBT Python PySpark SQL Azure Any ecommerce experience would also be a bonus. Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

month contract with an immediate start and scope for extension on a greenfield project. The rate available for this position is: £550-565pd outside IR35. Requirements : Databricks DBT Python PySpark SQL Azure Any ecommerce experience would also be a bonus. Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

month contract with an immediate start and scope for extension on a greenfield project. The rate available for this position is: £550-565pd outside IR35. Requirements : Databricks DBT Python PySpark SQL Azure Any ecommerce experience would also be a bonus. Please apply directly or email me your CV on Charlie.Durman@lafosse.com More ❯

to work at the heart of a mission-driven business. ✅ What you'll bring: - 4+ years as a Data Engineer (ideally in fintech/lending) - Strong SQL, Python, Snowflake, dbt, Dagster - Experience with credit bureau data, open banking APIs - A love for clean, scalable data systems in fast-moving environments Sound like you or someone you know? 📩 Drop me a More ❯

to work at the heart of a mission-driven business. ✅ What you'll bring: - 4+ years as a Data Engineer (ideally in fintech/lending) - Strong SQL, Python, Snowflake, dbt, Dagster - Experience with credit bureau data, open banking APIs - A love for clean, scalable data systems in fast-moving environments Sound like you or someone you know? 📩 Drop me a More ❯

background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

background in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯