1 to 25 of 77 dbt Jobs in the UK excluding London

or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency More ❯

practices. Nice-to-Have Skills Exposure to AWS Redshift, Glue, or Snowflake. Familiarity with BigQuery and Google Analytics APIs. Proficiency in Python, PySpark, or dbt for data transformations. Background in insurance, especially in pricing analytics or actuarial data. Click Apply More ❯

data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in Python or another data-focused language Knowledgeable about data management best practices, including governance, security, and compliance standards Familiar with cloud More ❯

a related field, with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow OR Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ More ❯

a related field, with a focus on building scalable data systems and platforms. Strong expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures More ❯

Role Job Description: AWS Services: Glue, Lambda, IAM, Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and Teradata Responsibilities: Serve as the primary point of contact for all AWS related data initiatives and More ❯

and integrity. Applying test data management tools for crafting, managing, and maintaining test data sets. Developing and execute data transformation tests using DBT (Data Build Tool). Performing ETL testing to validate data extraction, transformation, and loading processes. Collaborating with data engineers, analysts, and other stakeholders to identify and resolve … need Required Qualifications: Proven experience in defining and implementing data testing strategies. Hands-on experience with test data management tools. Proficiency in DBT (Data Build Tool) for data transformation and testing. Strong understanding of ETL processes and experience in ETL testing. Excellent problem-solving skills and attention to detail. Experience More ❯

communicator able to interface confidently with both technical and non-technical audiences Bonus Experience • Familiarity with IaC frameworks (CloudFormation, Terraform, SAM) • Exposure to Snowflake, DBT, Airflow, or cost analytics/data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native More ❯

understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience working in agile or cross-functional More ❯

effectively across teams. ✨ Bonus Points For: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). Experience with specific orchestration tools (e.g., Airflow, dbt). Experience working in Agile/Scrum development methodologies. Experience with Big Data Technologies & Frameworks 🚀 Join Us More ❯

effectively across teams. Bonus Points For: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). Experience with specific orchestration tools (e.g., Airflow, dbt). Experience working in Agile/Scrum development methodologies. Experience with Big Data Technologies & Frameworks Join Us! This role can be based in either of More ❯

understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience working in agile or cross-functional More ❯

Python, or SQL Familiarity with cloud platforms (AWS, Azure, or MODCloud) and data services Experience building and automating data pipelines using tools like Airflow, dbt, or similar An understanding of data security and privacy in sensitive environments Ideally exposure to geospatial tools or libraries such as PostGIS, GDAL, QGIS, or More ❯

low latency data pipeline with the following skills. Data Engineering Skills Modelling Orchestration using Apache Airflow Cloud native streaming pipelines using Flink, Beam etc. DBT Snowflake Infrastructure Skills Terraform Devops Skills Experienced in developing CI/CD pipelines Integration Skills REST and Graph APIs (Desirable) Serverless API development ( e.g. Lambda More ❯

databases (Structured, non-relational, Graph etc.) CI/CD experience Python or Java experience is preferred GIS experience is desirable. ETL experience (Ideally with DBT, but not a hard requirement) Benefits ? Hybrid working – 2 days per week on site. Up to £65,000 Private Medical 4x DIS 5% employer pension More ❯

Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options More ❯

Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master's or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options More ❯

environments. Excellent communication skills and ability to interact with technical and non-technical stakeholders. Nice to have would be: Familiarity with modern data tools (dbt, Airflow, Kafka, etc.). Knowledge of monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, CloudWatch). Certifications in relevant cloud technologies (AWS, Azure, GCP). More ❯

field. 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.) Hands on experience with Oracle RDBMS Data Migration experience to Snowflake Experience with AWS services such as S3, Lambda, Redshift, and Glue. Strong understanding More ❯

and performance Techstack: Python (for scripting and data wrangling) SQL (strong experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

PowerShell) 3+ years of experience with data quality management and issue resolution 2+ years of experience with cloud DW/ETL solutions (e.g., Snowflake, DBT) Experience in Agile delivery environments Strong understanding of cloud concepts and data platform infrastructure Experience with automation, testing and monitoring of data platforms Proven problem More ❯

for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure SQL development skills Experience using Dataform or dbt Demonstrated strength in data modelling, ETL development, and data warehousing Knowledge of data management fundamentals and data storage principles Familiarity with statistical models or data More ❯

Meta, etc. Experience with BI/dashboarding tools and visualisation. A pragmatic, problem-solving mindset with strong communication skills. Nice to have: Experience with dbt or Airflow, Python/R for analysis, or knowledge of A/B testing and marketing attribution. Why This Role? Greenfield opportunity – shape the tools More ❯

in a regulated, client-focused environment (ideally financial services) Strong understanding of data governance frameworks, data quality, and compliance Hands-on experience with Snowflake, DBT, and an awareness of the wider vendor landscape (e.g., Adobe, Braze, etc.) Ability to design and author data architecture standards, models, and strategy Sound knowledge More ❯

in a regulated, client-focused environment (ideally financial services) Strong understanding of data governance frameworks, data quality, and compliance Hands-on experience with Snowflake, DBT, and an awareness of the wider vendor landscape (e.g., Adobe, Braze, etc.) Ability to design and author data architecture standards, models, and strategy Sound knowledge More ❯