4 of 4 Remote/Hybrid dbt Jobs in the City of London

data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing at exec level. ...

Editor, DAX Studio, Measure Killer Data Modelling & Architecture: Semantic design, Star Schemas, Semantic models Databases & Platforms: Snowflake, Azure Databricks Data Engineering & ETL: ETL processes, DBT, IBM Data Manager DevOps & Governance: GitHub, Version control, CI/CD, License management, Capacity optimisation Background in commodities or energy trading environments strongly preferred This ...

security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned … cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product ...

customer information across all touchpoints. Length: 12 months Location: London, UK Environment: Hybrid - 2-3 days in the office Key responsibilities: Develop and maintain dbt models that transform raw data into trusted datasets for analytics and business intelligence Implement data quality tests and monitoring to ensure accuracy and reliability Optimise … What is required to be successful in this role: Strong SQL skills with experience in complex data transformations, CTEs and window functions Expertise with dbt and modern analytics engineering tools Solid understanding of dimensional modelling and data warehousing concepts Experience with Git-based workflows for version control and collaboration ...