14 of 14 dbt Jobs in the Thames Valley

mentoring experience Technologies & Experience Desired: Git and JIRA software and backlog management tools Power BI, Tableau, Qlik or Looker Matillion, Talend, Pentaho, SSIS Databricks, DBT, Fivetran Snowflake, Microsoft SQL Server, Oracle DB or Redshift Building CI/CD pipelines and IaC Analytical skills including the ability to apply a range ...

advanced SQL. Cloud Data Platforms & Architecture: Proven experience working with Azure-based data technologies and designing scalablelakehousearchitectures, data models and modern cloud data solutions. dbt& Engineering Best Practices: Experience withdbtCloud ordbtCore, including model development, testing, documentation, lineage, deployment workflows, CI/CD and version control practices. Data Quality, Performance &Optimisation ...

modelling Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial Must have experience with Redshift Nice to have: Experience with dbt/lake formation One or more AWS Certifications #J-18808-Ljbffr ...

modelling - Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial - Must have experience with Redshift Nice to have: - Experience with dbt/lake formation - One or more AWS Certifications Applications are now open! - Reach out to Adam Akhtar at Opus for further information. ...

modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking for. Demonstrated fluency with AI automation tooling: using LLMs and agents to integrate systems, accelerate delivery ...

improve the way data is managed. You'll ideally have experience with: Snowflake and cloud-based data platforms. Building and maintaining data pipelines. dbt and data quality/testing frameworks. Azure, particularly Azure Functions or similar cloud-based services. SQL and data transformation. Data modelling and engineering for analytical ...

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 ...

Responsibilities Translate business requirements into well-structured data models, including conformed dimensions, facts, and metric definitions. Design, build, and maintain transformation pipelines using dbt and Snowflake , orchestrated through Airflow . Create and manage semantic models and metrics layers to ensure consistent reporting and analytics across the organisation. Partner closely with … standards around data modelling, naming conventions, metrics management, and governance. Mentor and support analysts and engineers in modern analytics engineering practices. Technical Environment Snowflake dbt Airflow AWS Semantic Layers/Metrics Frameworks Tableau/Power BI AI & LLM-enabled analytics solutions Essential Skills & Experience Advanced SQL skills with strong expertise ...

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 ...

skillsets. Here’s a flavour of your day-to-day: Support the operation and reliability of Primark’s modern data platform helping manage Databricks, dbt Cloud and Azure data services while ensuring data products are production-ready, supportable and aligned with engineering standards. Monitor and maintain critical data pipelines … systems and data platforms in a fast-paced environment. Strong understanding of modern data platforms and DataOps practices with exposure to Azure DevOps, Databricks, dbt Cloud, Azure data services, SQL, Python, ETL/ELT processes, job scheduling, monitoring, observability and deployment automation. Experience supporting production environments and service operations including ...

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 ...