26 to 50 of 245 dbt Jobs in the UK excluding London

and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯

handle sensitive and confidential information Experience working with non-data stakeholders to translate their needs and generate useful results presented in an understandable way Familiarity with orchestration tools (Airflow, DBT) and data warehouse modelling Managing other data engineers Experience with customer and commercial datasets, especially in retail or FMCG A love of pets! About Jollyes Pets Jollyes are an award More ❯

testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience More ❯

services You have an indepth knowledge of SQL and Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative More ❯

services You have an indepth knowledge of SQL and Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative More ❯

governance and information security credentials. What technical skills are required? ETL/ELT & Data Transformation: Amazon Redshift (query tuning, distribution/sort keys, workload management) Data modelling (normalisation, dimensional) dbt (modeling, testing, documentation, deployment) Building scalable ETL/ELT pipelines with Python Workflow Orchestration: Apache Airflow (DAG design, scheduling, monitoring, scaling) Best practices for dependency management, retries, and alerting Cloud More ❯

platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯

platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯

platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯

systems. Good understanding of security, compliance, and agile delivery practices. Passionate about learning new technologies and collaborating with teams, including mentoring junior engineers. Nice-to-have experience with Snowflake, DBT, Terraform, and Azure DevOps CI/CD pipelines. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one More ❯

Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data More ❯

Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data More ❯

Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML More ❯