76 to 100 of 429 dbt Jobs in England

a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including More ❯

a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including More ❯

a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including More ❯

a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including More ❯

a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including More ❯

data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional More ❯

data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional More ❯

data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional More ❯

data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional More ❯

data engineering type! Significant hands-on experience with AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Experience designing scalable data models, warehouse/lakehouse architectures, and dimensional More ❯

applied to data solution Proficiency with traditional database SQL technologies Experience with integration of data from multiple data sources Experience of CI/CD best practices Experience using AWS, DBT and Snowflake. Self starter with a proven track record of delivering work to high standard with minimal guidance. Desirable Experience of ETL technologies AWS exposure (Athena, Glue, EMR, Step functions More ❯

pipelines, improving infrastructure, and driving innovation across the data platform. Tech Stack: 🔹 Snowflake 🔹 Python (FastAPI, Pydantic) 🔹 Airflow/Dagster 🔹 AWS + Terraform 🔹 CI/CD (GitHub Actions) (Bonus: Kafka, dbt/SQLMesh, data quality & governance tools) What’s on Offer: 💰 Up to £110,000 + annual bonus + long-term incentive plan 🏠 Fully remote (UK-based) – 2 days onsite per More ❯

and Python , applying data engineering best practices such as testing, version control, and CI/CD Hands-on experience building scalable data pipelines in a modern cloud environment (e.g., dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools More ❯

across your team. Lead by example fostering collaboration, accountability, and agile delivery in every sprint. What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering from ingestion to insight. Strong leadership and communication skills, with a collaborative, solution-driven mindset. Experience working in Agile More ❯

Surrey (1 day in office every fortnight) This is a high-impact Lead Data Engineer role, where you’ll work across a cutting-edge data stack (AWS, Databricks, Spark, dbt) to design scalable platforms and products that enable self-service analytics, advanced modelling, and AI-driven decision-making. You’ll report into the Head of Data Engineering, supporting a team More ❯

across your team. Lead by example fostering collaboration, accountability, and agile delivery in every sprint. What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering from ingestion to insight. Strong leadership and communication skills, with a collaborative, solution-driven mindset. Experience working in Agile More ❯

across your team. Lead by example — fostering collaboration, accountability, and agile delivery in every sprint. 🧠 What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering — from ingestion to insight. Strong leadership and communication skills, with a collaborative, solution-driven mindset. Experience working in Agile More ❯

across your team. Lead by example — fostering collaboration, accountability, and agile delivery in every sprint. 🧠 What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering — from ingestion to insight. Strong leadership and communication skills, with a collaborative, solution-driven mindset. Experience working in Agile More ❯

across your team. Lead by example — fostering collaboration, accountability, and agile delivery in every sprint. 🧠 What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering — from ingestion to insight. Strong leadership and communication skills, with a collaborative, solution-driven mindset. Experience working in Agile More ❯

SQL skills. Background in building and maintaining ETL/ELT pipelines in a cloud environment (AWS or Azure). Knowledge of data warehousing (e.g., Redshift, Postgres) and tools like DBT . Familiarity with CI/CD , data modelling, and Agile practices. Comfortable collaborating with Data Scientists and translating business needs into technical solutions. Experience leading or mentoring other engineers. Benefits More ❯

in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles , DevOps, and infrastructure automation. Excellent communication skills — able to collaborate across More ❯

in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles , DevOps, and infrastructure automation. Excellent communication skills — able to collaborate across More ❯

development and 20-30% on leadership and communication, ensuring all key builds and improvements flow through this individual. Working with a modern tech stack including AWS, Snowflake, Python, SQL, DBT, Airflow, Spark, Kafka, and Terraform, you'll drive automation and end-to-end data solutions that power meaningful insights. Ideal for ambitious, proactive talent from scale-up or start-up More ❯

in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles , DevOps, and infrastructure automation. Excellent communication skills - able to collaborate across More ❯

in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles , DevOps, and infrastructure automation. Excellent communication skills — able to collaborate across More ❯