6 of 6 Permanent dbt Jobs in Slough

deliver cloud-based data, analytics, and AI/ML platforms. You will define scalable data architectures and guide engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise environment. You will work with data engineers and platform teams to ensure data governance, security, and scalable data products ...

such as dimensional modelling, Kimball, or Data Vault Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem Familiarity with tools such as DBT, Python, or PySpark is beneficial Experience working in data transformation or modernisation programmes Understanding of architecture principles or a clear interest in developing into ...

data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise environment. Key Responsibilities Define end-to-end data architecture across ingestion, storage, transformation, and consumption layers. Design and govern … data models and data products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access ...

Telecom and Media, Retail and CPG, and Public Services. Job Title/Role: Lead Analytics Engineer Mandatory Required Skills Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. Modelling Concepts: Semantic Modelling, Dimensional Modelling (Kimball), Business/Logical/Physical Modelling. Skills: Software engineering mindset applied … workflows, and automated testing. Detailed Job Description Key Responsibilities Build and maintain scalable modular data models using dbt inside Snowflake. Transition complex, unoptimised Teradata views into high-performance Snowflake tables. Implement data quality testing, version control (Git), and CI/CD pipelines for analytics code. Manage Snowflake warehouse optimization, access ...

Fractal Role/Responsibilities: Must have Snowflake &/Snowflake ML experience. Fractal Data Engineer roles required with the necessary Snowflake experience. Data Build Tool (DBT) experience would be advantageous. To manage the build of nominated Programme Use Cases within Client Snowflake (Pre-Prod) during September 2026 through to December ...

HCLTech invites a Lead Analytics Engineer to design and optimize analytics data models within Snowflake, applying dbt Core/Cloud to deliver reliable, scalable solutions. You will transition complex Teradata-derived workflows to high-performance Snowflake constructs, implement data quality tests, version control, and CI/CD processes to accelerate ...