11 of 11 dbt Jobs in Yorkshire

expertise with AWS services, including Glue, Redshift, Data Catalog, and large-scale data storage solutions such as data lakes. Proficiency in ETL/ELT tools (e.g. Apache Spark, Airflow, dbt). Skilled in data processing languages such as Python, Java, and SQL. Strong knowledge of data warehousing, data lakes, and data lakehouse architectures. Excellent analytical and problem-solving skills with More ❯

of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice to have) - Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of More ❯

Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and driven to create meaningful business impact. Soft Skills: Excellent communication and collaboration — translating complex technical ideas into business insight More ❯

Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a plus. What’s on offer: Opportunity to work on large-scale, high-impact data projects. A collaborative, supportive environment with scope to grow More ❯

Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data migration. Exposure to DBT, Docker, or Microsoft BI stack is a plus. What’s on offer: Opportunity to work on large-scale, high-impact data projects. A collaborative, supportive environment with scope to grow More ❯

note that this Data Engineer position will require 2 days per week in Leeds city centre. The key skills required for this Data Engineer position are: Snowflake Python AWS DBT Airflow If you do have the relevant experience for this Data Engineer position, please do apply. More ❯

note that this Data Engineer position will require 2 days per week in Leeds city centre. The key skills required for this Data Engineer position are: Snowflake Python AWS DBT Airflow If you do have the relevant experience for this Data Engineer position, please do apply. More ❯

systems. Mentoring junior engineers and sharing best practices to strengthen data engineering capability. Tech Stack & Environment AWS ecosystem: Redshift, S3, Glue, Lambda, Step Functions, CloudFormation Core tools: Python, SQL, DBT, Terraform, GitHub, CI/CD Data warehousing: 600TB+ environment with expansion into Databricks BI & analytics: Power BI, Tableau, and AI platforms 100% cloud-centric and 100% Microsoft-integrated environment What More ❯

Azure Databricks, Azure Data Factory, and other cloud platforms. Strong programming skills in Python, SQL, and cloud-native tools like APIM, Azure Functions, and Synapse. Hands-on experience with DBT for modular, testable SQL in a Lakehouse architecture. Proficient in Power BI for building interactive dashboards and visualising insights. Skilled in Databricks for collaborative data engineering, machine learning, and analytics. More ❯

Senior Data Engineer - Greenfield AWS Role Leeds (Hybrid) £75,000-£85,000 Our client is a nationally recognised leader in their industry, operating across the UK with a strong reputation for innovation and excellence. As part of their continued investment More ❯

the business. Reporting to a highly experienced team lead, you'll work closely with stakeholders across Product, Engineering, and Commercial. Design and build reusable, high-performance data models using dbt Translate business logic into well-documented sources of truth Contribute to data quality checks, testing, and CI/CD best practices Partner with cross-functional teams to deliver scalable analytics … solutions Help shape architectural decisions and improve data model governance YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will bring: Strong SQL skills and hands-on experience with dbt (or similar tools) Experience designing as well as building data models Exposure to Snowflake and/or data pipeline tools Understanding of testing, CI/CD, and data quality frameworks THE More ❯