1 to 25 of 194 Remote dbt Jobs in the UK

. Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP, or Azure). Familiarity with data modeling and warehousing concepts, and dimensional modeling techniques. dbt knowledge is preferable. Comfortable working with CI/CD tools, version control, and containers (e.g Git, Jenkins, Docker). Understanding of data governance, security best More ❯

working autonomously. It would be a real bonus, but not a requirement if: You've worked in a start-up environment. You've got DBT experience. You've familiarity with MLOps principles and practices and their application in a production setting. Interview Process: You'll have a 20-minute conversation More ❯

R. Working knowledge of message queuing and stream processing. Experience with Apache Spark or Similar Technologies. Experience with Agile and Scrum Technologies. Familiarity with dbt and Airflow is an advantage. Experience working in a start-up or scale up environment. Experience working in the fields of financial technology, traditional financial More ❯

R. Working knowledge of message queuing and stream processing. Experience with Apache Spark or Similar Technologies. Experience with Agile and Scrum Technologies. Familiarity with dbt and Airflow is an advantage. Experience working in a start-up or scale up environment. Experience working in the fields of financial technology, traditional financial More ❯

preferred). Experience with CI/CD pipelines and version control. Proficiency in data visualisation tools (e.g. Tableau, PowerBI). Exposure to tools like DBT, Apache Airflow, Docker. Experience working with large-scale datasets (terabyte-level or higher). Excellent problem-solving capabilities. Strong communication and collaboration skills. Proficiency in More ❯

preferred). Experience with CI/CD pipelines and version control. Proficiency in data visualisation tools (e.g. Tableau, PowerBI). Exposure to tools like DBT, Apache Airflow, Docker. Experience working with large-scale datasets (terabyte-level or higher). Excellent problem-solving capabilities. Strong communication and collaboration skills. Proficiency in More ❯

data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for More ❯

data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for More ❯

data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for More ❯

with IAC( Terraform )and CI/CD ( Jenkins ). Experience in developing and deploying AI/ML pipelines . Familiarity with Airflow , Redshift , and dbt . What you will do: Architect, build, and optimise robust ETL processes for efficient data extraction, transformation, and loading. Develop an automation model and sophisticated More ❯

with IAC( Terraform )and CI/CD ( Jenkins ). Experience in developing and deploying AI/ML pipelines . Familiarity with Airflow , Redshift , and dbt . What you will do: Architect, build, and optimise robust ETL processes for efficient data extraction, transformation, and loading. Develop an automation model and sophisticated More ❯

Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently Are comfortable working autonomously and taking responsibility for the delivery of large More ❯

Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity with CircleCI, Terraform or similar tools for deployment and infrastructure as code. In this role, you will be responsible for: Shipping and More ❯

as well as 30 Engineers in the businesses data arm. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT Expertise Terraform Experience Nice to Have: Data Modelling Data Vault Apache Airflow Benefits: Up to 10% Bonus Up to 14% Pensions Contribution 29 Days Annual More ❯

Tools). Experience with one or more of the following is a plus: Kubernetes, Prometheus, Argo workflows, GitHub Actions, Elasticsearch/Opensearch, PostgreSQL, BigQuery, DBT data pipelines, Fastly, Storybook, Contentful, Deno, Bun. Benefits We want to give you a great work environment; contribute back to both your personal and professional More ❯

the Data space. This role will also allow the successful individual to cross-train into modern Data Engineering tools and Technologies such as Airflow, dbt, Snowflake, as well further develop their skills Python, SQL and Market Data platforms. The firm work on a hybrid working schedule (three days per week More ❯

the Data space. This role will also allow the successful individual to cross-train into modern Data Engineering tools and Technologies such as Airflow, dbt, Snowflake, as well further develop their skills Python, SQL and Market Data platforms. The firm work on a hybrid working schedule (three days per week 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 ❯

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 ❯

and coaching others to succeed. Have a strong background in building and managing data infrastructure at scale, with expertise in Python, SQL, BigQuery, AWS, dbt and Airflow. Have a strong background in data modelling and building scalable data pipelines. Are naturally curious and enthusiastic about experimenting with new tech to More ❯

data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other modern data transformation frameworks. Ability to use a version control system (e.g. git) for code management and collaboration. Proficiency in efficiently extracting data More ❯

data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other modern data transformation frameworks. Ability to use a version control system (e.g. git) for code management and collaboration. Proficiency in efficiently extracting data More ❯

data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other modern data transformation frameworks. Ability to use a version control system (e.g. git) for code management and collaboration. Proficiency in efficiently extracting data 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 ❯