176 to 200 of 503 dbt Jobs

ability to architect and demo enterprise-grade solutions live Proficiency in SQL, Python, and data engineering tools commonly used in healthcare environments (dbt, Spark, or equivalent) Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, CMIOs, and CIOs at large healthcare organisations Track record of leading ...

Snowflake, and the ability to architect and demo enterprise-grade solutions liveProficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent)Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutionsTrack record ...

part we consider hardest to buy: translating how the business works into models and numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across ...

excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule … monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision ...

excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule … monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision ...

excellence through best practices, mentoring, and thoughtful technical direction. Job responsibilities Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule … monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design Implement infrastructure-as-code (e.g., Terraform) to provision ...

operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure-as-code … Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience designing and operating orchestration pipelines using Airflow or similar toolsExperience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systemsDemonstrated ...

ingestion of data from disparate source systems into a centralised data analytics platform. Designing and implementingdata engineering solutions using T-SQL, Python, PySpark and DBT in the Azurecloud environment. Working with Data Analystsin promoting business logic into DBT data models, to support business reportsand dashboards. Maintaining and leveragingCI/… stored proceduresin T-SQL or a similar enterprise database toolset. Experienceworking in an Agile software development framework. Excellentworking knowledge of Data Build Tool (DBT) with a demonstrated ability indeveloping data models, contracts, tests, validation, and transformations Experienceworking with modern data distributed file formats (i.e., Parquet, Delta,Iceberg, Hudi) Demonstratedexperience with ...

role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles and experience applying them to improve data reliability and ownership. Experience designing and enforcing ...

existing database and reporting solutions across the full SQL Server suite, including SSIS/SSRS packages Build data pipelines using modern tooling such as dbt, alongside existing SSIS/SSRS where relevant Own schema and data model design decisions, applying sound data warehousing principles to both operational and analytical workloads … strategies, and production release validation Solid experience modelling, designing, and deploying database solutions using Microsoft’s SQL Server Data Tools Hands‐on experience with dbt for data transformation, building version‐controlled, testable pipelines Experience with Power BI, including paginated/report‐server style reporting, for both interactive and operational reporting ...

requirementsMaintain existing database and reporting solutions across the full SQL Server suite, including SSIS/SSRS packagesBuild data pipelines using modern tooling such as dbt, alongside existing SSIS/SSRS where relevantData architectureOwn schema and data model design decisions, applying sound data warehousing principles to both operational and analytical workloadsAssess … versioning, rollback strategies, and production release validationSolid experience modelling, designing, and deploying database solutions using Microsoft's SQL Server Data ToolsHands-on experience with dbt for data transformation, building version-controlled, testable pipelinesExperience with Power BI, including paginated/report-server style reporting, for both interactive and operational reporting needsStrong ...

track record of delivering projects from concept through to production and adoption. Hands-on expertise in SQL, data modelling and analytics engineering. Experience with dbt or similar version-controlled transformation frameworks. Strong understanding of data warehouse architecture and semantic modelling. Experience working with Redshift, Snowflake, BigQuery or similar cloud data ...

timely delivery while collaborating with engineers, analysts and compliance teams. The role requires strong Python/Java, SQL and AWS experience, familiarity with Airflow, dbt and Spark, and a practical understanding of CI/CD and Agile delivery in a fast-paced financial services environment. #J-18808-Ljbffr ...

more technical leadership and solution design responsibility. You'll ideally have: Strong commercial experience with Python & SnowflakeExperience mentoring or technically leading other engineersExperience with dbt, Airflow or similar data engineering toolingA good understanding of data modelling and modern data platform architectureExperience working with AWS (ideally) or another major cloud platformThe ...

track record of building and maintaining reliable, production-grade software at scale. Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products is a strong advantage. Confidence in working with Kubernetes-native platforms to deploy and operate data ...

advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with product ...

advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster) Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables) Experience working directly with product ...

strong data culture. What We’re Looking For Extensive experience in analytics and analytics engineering within a fast-paced, commercial environment. Advanced SQL and dbt expertise with a strong focus on data modelling and architecture. Strong experience working with BigQuery or similar modern cloud data platforms. Deep expertise with ...

Cloud data ecosystem, particularly BigQuery. Advanced SQL skills and strong experience with Python. Strong experience with modern data engineering and orchestration technologies such as dbt, Airflow/Cloud Composer, and related tools. Experience designing scalable data platforms, pipelines, data models, and integration patterns. Strong understanding of data governance, security, quality ...

insurance, or banking)* Experience operating within a data product or platform operating model, not solely project-based delivery**Desirable*** Experience with transformation frameworks (e.g. dbt)* Experience with streaming or event-driven architectures* Exposure to semantic layers, metrics layers, or feature engineering patterns* Experience managing platform costs and optimising spend ...

insurance, or banking) Experience operating within a data product or platform operating model, not solely project-based delivery Desirable Experience with transformation frameworks (e.g. dbt) Experience with streaming or event-driven architectures Exposure to semantic layers, metrics layers, or feature engineering patterns Experience managing platform costs and optimising spend ...

McKesson is seeking a Senior Data Engineer to own the ClarusONE data platform, delivering robust data pipelines using Snowflake, dbt, Airflow, and Databricks. You will set engineering standards, patterns, and governance while collaborating with Analytics, Data Insights, Software Engineering, and IT to scale the platform. This hands-on role requires ...

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 ...

with experience writing version-controlled, tested and maintainable code. Experience with the Python geospatial ecosystem and working with PySpark on Databricks. Working knowledge of dbt, MLflow and production model deployment patterns . Confidence using AI-assisted development tooling appropriately as part of the development lifecycle. Strong written and verbal communication ...

shape the way data is delivered. This role will be 70% Analytical and 30% Data Engineering. Tech Stack Snowflake AWS Python SQL SQLMesh/dbt BigQuery Why This Role? Real ownership of an established cloud data platform Significant influence on technical direction and best practice Opportunity to work closely with ...