9 of 9 dbt Jobs in the Thames Valley

Airflow, alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery. Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. Experience with one or more major cloud environments—Azure, GCP, or AWS—is also expected. In return for your skills ...

needed. Technology/Skills requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About ...

designing and owning data and analytics platforms in cloud environments. Dealing with huge volumes of data in a modern stacks (e.g. Snowflake, dbt, Airflow) and CI/CD practices. Whilst having microservices experience within a cloud environment, ideally AWS. If you have domain experience, great – but it's NOT essential. ...

building and optimising large-scale data pipelines Practical expertise with Databricks and Azure services Confident communicator with strong problem-solving ability Core Technologies Databricks DBT Python PySpark SQL Azure If you are interested in this role then please apply via this platform or email me a copy of your most ...

maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless … scalability and resilience. Sample Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs ...

Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficialDepth of knowledge and understanding across core orchestration tools ...

Customer Engineering role within a Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/CD (GitHub Actions, GitLab CI, CircleCI) You have ...

data engineering practices within my their newly formed data office. My client are looking for individuals with: • Strong hands on Snowflake experience. • DBT (Data Build Tool), SQL, and ETL Pipelining experience. This is a London based role (x2 days), paying up to £90,000 (dependant on experience). ...

trading, and grid analytics. This is a rare opportunity to develop deep expertise in GB balancing market data using a modern data stack (Python, dbt, PostgreSQL, GitHub Actions), with no legacy Excel workflows. The Role As a Junior Data Specialist, you will: Perform data detective work: Investigate, map, and clean … inconsistencies across different energy market message types. Build and automate: Write Python scripts to ingest data from National Grid ESO and Elexon APIs, using dbt and SQL to implement transformation logic. Document critical insights: Maintain reference datasets and clearly document mappings, assumptions, and edge cases that support trading and operational ...