151 to 175 of 413 Permanent dbt Jobs

Excellent SQL development experience Highly experienced in data ingestion, processing and storage techniques on cloud native platforms Experience with cloud data management (Snowflake, AWS, DBT or similar Paas/SaaS) Experience of enterprise data management and security at scale Knowledge of data modelling and optimisation Expert in data processing, testing ...

compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into pipelines (RAG, semantic ...

science concepts to non-technical audiences Desirable: Familiarity with modern data platforms including data lakes, lakehouses and workflow orchestration tools such as Dagster and dbt Knowledge of the property and casualty insurance industry including claims, underwriting, fraud detection or risk assessment Relevant AWS certifications such as AWS Certified AI Practitioner ...

with NHS or other routine healthcare data at patient level Unity Catalog, Delta Lake and medallion structure, bronze to silver to gold Exposure to dbt and dimensional modelling Experience contributing to vendor or partner relationships, such as with Databricks Experience designing for multi-region operations (UK, Middle East, EU) Flexible ...

environments Experience mentoring or supporting the development of junior team members Experience within Digital Media, Revenue Management, Gaming, Gambling or Consumer Competitions Experience with dbt, Airflow, Git or similar tools Exposure to personalisation, recommendation engines or marketing technology platforms Familiarity with tools such as Tableau, Braze, Adswizz, Rudderstack or Covatic ...

with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore how we use analytics and Data Science ...

role in building and maintaining core datasets, ensuring data quality and accessibility.Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization.Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating our data ...

market expansion. Advanced Technical Mastery: Expert‐level proficiency across the modern data stack. You are comfortable writing production‐grade code, architecting data models in dbt , optimizing complex Snowflake environments, and leveraging AI/automation to scale analytical workflows. Ecosystem Governance: Deep familiarity navigating and integrating enterprise CRMs and automation systems ...

Lead the roll-out and on-going maintenance of a custom instance of WPP’s Measure “Campaign Performance” platform, which leverages Adverity, SQL via DBT, Microsoft PowerBI, and Google Cloud Platform (GCP) Partner with the Client Analytics team to deliver on Learning Agenda and Measurement Plan priorities in both ...

related discipline Proven enterprise data modelling experience at conceptual, logical, and physical levels Hands-on SqlDBM experience (or equivalent modern toolset) Proven experience with dbt Labs Good Python skills, API integration, automation Practical Snowflake and Databricks experience including Cortex AI and Genie Working knowledge of OWL, RDF, SPARQL and enterprise ...

related disciplineProven enterprise data modelling experience at conceptual, logical, and physical levelsHands-on SqlDBM experience (or equivalent modern toolset)Proven experience with dbt LabsGood Python skills, API integration, automationPractical Snowflake and Databricks experience including Cortex AI and GenieWorking knowledge of OWL, RDF, SPARQL and enterprise ontology designExperience with at least ...

insights role, ideally at the start of your technical lead journey.Strong proficiency of SQL and advanced Python is required.Experience with modern data stacks, including dbt, data warehousing (e.g. Snowflake) and visualization/semantic layers like Lightdash or Looker. Ability to understand the underlying business logic of marketing and financials ...

organisation to discover insights from data by exposing it in a meaningful and actionable way.QualificationsYou have experience with SQL and building data pipelines (dbt experience is preferable). You are confident working with complex data models and are able to independently design and implement new models.You have strong quantitative skills. ...

expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang ...

expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang ...

Cloud Data Engineer About the Job you are considering: We are seeking an experienced Cloud Data Engineer with expertise in AWS, Snowflake, dbt, PySpark, and SQL to design, build, and maintain scalable cloud-based data platforms and analytics solutions. The ideal candidate should have strong experience in cloud data engineering … scalable data pipelines using AWS cloud services. Build and manage ETL/ELT workflows for data ingestion, transformation, validation, and reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize Snowflake data warehouse solutions. Integrate data ...

transforming raw and curated data into trusted, well-documented datasets for business and analytical use Implementing complex data models and transformations using SQL and dbt , with a strong understanding of how upstream transformations feed downstream analytical use cases Working with existing enterprise data models and dimensional structures, confidently navigating … work confidently across the full data lifecycle. Essential experience Strong experience building and maintaining analytics pipelines using SQL-first transformation patterns, ideally with dbt Solid understanding of data warehousing concepts, including how dimensional and analytical models are used downstream, without requiring deep ownership of modelling design decisions Advanced SQL skills ...

optimize Spark/Scala jobs for ingestion and transformation, using the existing GitHub Actions and Terraform setup for deployments Implement, run and monitor dbt tests to ensure data quality and consistent dimensional models Extend and maintain Delta Lake fact and dimension tables for analytics use cases, following a bronze/… analysis and AI coding agents into day-to-day workflows Tech stack Azure Databricks (Spark, Delta Lake) SQL Server, Confluent Kafka Scala, SQL, dbt Git, GitHub Actions, Terraform Sigma (BI) Must-have experience Commercial experience as a Data Engineer working with Spark in production (ideally on Databricks) Essential experience working ...

assets and how these connect to our users’ financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including ...

language such as Python or R . Strong understanding of experiment design, statistical analysis, holdout testing, and measuring incremental impact . Experience working with dbt to transform, model, and manage data effectively. Proven experience building reporting solutions and dashboards using BI tools, with experience in Lightdash, Looker, or Tableau beneficial. ...

Styled Components), React, Redux, Redux Hooks, and other modern state management libraries. Kotlin on Android and Swift on iOS. Data: SQL, Python, Snowflake, dbt, Airflow & Looker AI at the company: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, Sagemaker and MLflow for Machine Learning, Cursor and Claude ...

Databricks Lakeflow.Implement appropriate ingestion strategies including incremental and batch loads.Develop ETL/ELT processes using Databricks Medallion Architecture.Write and maintain Python data engineering code.Use dbt for data transformation and modelling.Ensure pipelines are scalable, reliable and maintainable.Key SkillsStrong commercial Databricks experience.Proven data ingestion experience.Azure Data Factory.Databricks Lakeflow.SQL and API integration.Medallion Architecture.Strong ...

know when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step ...

developing into an architectural role Experience working closely with Data Engineers, Analytics teams, and business stakeholders Exposure to Microsoft Fabric, Databricks, Python, PySpark, or dbt would be beneficial Experience with data modelling tools such as Sparx EA, Sparx Enterprise Architect, Enterprise Architect, ER/Studio, ERwin, Erwin Data Modeler, PowerDesigner ...

with the ability to map metrics through to underlying data sources.Experience defining data quality rules, critical data elements and data governance processes.Experience working with dbt and data warehouse environments.Strong stakeholder management skills with experience working directly with business users and non-technical teams.Experience within customer analytics, B2B, B2C, retail ...