26 to 50 of 199 dbt Jobs

experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading or mentoring engineers Strong communication and stakeholder engagement ...

data warehouses such as Snowflake, BigQuery or similar Solid understanding of dimensional modelling and data warehousing concepts Exposure to data transformation tools such as DBT is beneficial Basic knowledge of Python, ideally in the context of orchestration tools like Airflow Confident communication skills and the ability to work effectively ...

refinement, sprint planning, and UAT support. Experience with cloud‐based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and reporting solutions. Familiarity with modern analytics engineering ...

Data Warehouse and data platform architecture Dimensional data modelling RBAC, governance and data masking Monitoring, data quality and operational support Advanced SQL and Python dbt or similar transformation frameworks Along with the technical, you will also be able to showcase a clear and succinct communication style, which enables ...

utilities, financial services, health, etc.) is advantageous. Desirable Experience with data mesh, domain-driven design, or federated data ownership models. Experience with Great Expectations, dbt tests, or enterprise DQ tooling. Knowledge of MDM, reference data management, and semantic modelling. Experience with streaming platforms (Kafka, EventHub) and API-based integration. Understanding ...

Solid hands on Data Engineering experience Advanced SQL and Python Strong experience with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows ...

platforms including: Google BigQuery Snowflake Microsoft Fabric Experience designing scalable, enterprise-grade data architectures. Strong understanding of modern data engineering tooling and practices, including dbt and cloud-native services. Technical Mindset Highly hands-on and technically credible. Comfortable diving into existing pipelines, transformations, and codebases rather than operating solely ...

Experience with schema versioning, contract testing, and backward‐compatibility strategies Experience building and operating data pipelines on cloud data platforms Strong working knowledge of dbt for data transformations, testing, and documentation Familiarity with Snowflake data modelling, optimisation, and cost‐aware design Understanding of data quality, lineage, and observability concepts ...

Experience building transformation layers in ELT environmentsTrack record of delivering in hands-on roles (not purely architectural)\n Highly Desirable \n \n Experience with dbt or similar transformation frameworks \nFamiliarity with modern data stack principlesExperience implementing testing and data quality frameworksExposure to CI/CD in data environmentsExperience rationalising large ...

schema versioning, contract testing, and backward‐compatibility strategies**Data Engineering*** Experience building and operating data pipelines on cloud data platforms* Strong working knowledge of **dbt** for data transformations, testing, and documentation* Familiarity with Snowflake data modelling, optimisation, and cost‐aware design* Understanding of data quality, lineage, and observability concepts**DevOps ...

schema versioning, contract testing, and backward‐compatibility strategies**Data Engineering*** Experience building and operating data pipelines on cloud data platforms* Strong working knowledge of **dbt** for data transformations, testing, and documentation* Familiarity with Snowflake data modelling, optimisation, and cost‐aware design* Understanding of data quality, lineage, and observability concepts**DevOps ...

federated model; provision, configure, and deploy services on AWS without a dedicated infrastructure team Solve complex data pipeline and orchestration challenges using Snowflake, DBT, and UAC Requirments 7+ years of enterprise software engineering Python development Production AWS (Lambda, S3, microservices, CI/CD pipelines) Strong data engineering with Snowflake ...

data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs.Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines.A tech-agnostic mindset, open to selecting the right tool for each problem — whether ...

data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs.Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines.A tech-agnostic mindset, open to selecting the right tool for each problem — whether ...

experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of Python, SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar ...

everyone downstream, including governance Who you are Strong in SQL and Python, with real pipeline experience, not just querying Comfortable with Spark or PySpark, dbt and Airflow for orchestration Experience with at least one major cloud platform (AWS, GCP or Azure) You've worked with vector databases or feature stores ...

schema management principles. Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs. Hands-on experience using Airflow, dbt or similar orchestration and transformation tools. Experience working with large, complex and varied datasets. Not the Right Fit If Your background is heavily focused ...

into product improvements What will set you apart Hands-on experience with the modern data stack, for example Iceberg or Delta, Snowflake or Databricks, dbt or Airflow Experience with a data migration or re-platforming project, on either the product or the engineering side Experience in financial services or another ...

warehousing \nProgramming: Advanced proficiency in Python and R for data manipulation and automation.Database: Expert-level SQL for complex querying and data modelling. Use of dbt to utilise SQL in a data warehouseOrchestration & Containers: Practical experience with Kubernetes and use of pipelines for deploying and scaling data services.\n Working Arrangements ...

Azure SQL, and Azure Data Factory. Snowflake Toolkit: Hands-on with Snowpipe, Streams, Tasks, Dynamic Tables, and Stored Procedures. Nice to Have: Exposure to DBT, Snowpark, Snowflake AI/ML, Airflow, and Snowflake administration (RBAC, warehouse sizing). Mindset: Strong problem-solving abilities with an ownership mindset ...

skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. You have experience with SQL, python/R, dbt (ideally) and building data pipelines. You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple ...

Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. \n You have experience with SQL, python/R, dbt (ideally) and building data pipelines. You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple ...

warehouse or lakehouse—dimensional, Data Vault, One Big Table or domain-driven approaches, fit to the use case Build and maintain transformation layers in dbt (or equivalent), with appropriate testing, documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses … performance tuning and warehouse-specific dialect Strong Python skills (or Scala/Java where relevant) for pipeline development and tooling Hands-on experience with dbt or equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift ...

control processes;- Knowledge of cloud cost and resource optimisation (FinOps principles)- Awareness of agile delivery methodologies (Scrum or Kanban).Desirable: - Experience with DBT (Data Build Tool) or Prefect.- Awareness of AI/ML data preparation and the security implications of LLM training data.- Knowledge of housing, asset management, or repairs ...

someone who combines deep data expertise with broader engineering capability, get in touch with Justin Donaldson for a confidential chat. Skills: dbt spark sql snowflake apache airflow cloud JBLE1 ...