226 to 250 of 778 dbt Jobs in the UK

stakeholder engagement skills and ability to shape solutions from ambiguityCuriosity and a passion for turning data into meaningful business valueAdvantageousExperience working with AWS Redshift, dbt and DatabricksExperience with AI, M/L tooling and data preparation as well as data orchestration and cataloguingA mentor who enjoys helping others growWhat ...

data serving layer for Grafana and Analytics (via Databricks/MLflow), unblocking the Data Science team. Mentorship: Upskill the existing team in good practices (dbt, git workflows, SQL optimisation, data modelling). Experience & Background Pragmatic Architect: Capable of making trade-offs between “academic perfection” and “business value”. They must ...

semantic layer, ensuring technical solutions align with our long-term platform design and methodologies.Build and maintain robust data transformations and models in dbt, ensuring data consistency, quality, and reusability across our BigQuery environment.Deliver analytical insights and self-service data products (reports, KPIs, dashboards) that drive data decision-making culture.Identify, collect ...

Snowflake ecosystem* Understanding of operational technology data, technology assets, dependencies, relationships and end-to-end flows within a large enterprise* Solution architecture across Snowflake, DBT and SqlDBM, including data modelling and schema design* AWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with Azure* Experience with ...

skills and confidence working with large, complex datasetsExperience with a BI tool such as Tableau, Looker or Power BIExperience with data modelling or dbt, including building robust pipelines and maintaining clear documentation Strong analytical judgement, attention to detail and focus on data accuracyAbility to take ambiguous business needs, work productively ...

platform such as Looker (LookML) or Sigma, modelling and configuring it, not only building dashboards in it Experience with semantic or metrics layers (LookML, dbt or similar): defining metrics and dimensions, and keeping those definitions consistent as they are reused Experience running what you build in production: version control, code ...

opportunity sizing, forecasting, prioritisation and scenario modelling. You’re proficient in SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python and Lightdash. You’re comfortable owning analytics from data transformation through to actionable insights. You’re an expert at crafting dashboards ...

technical tradeoffs. Some travel may be required. Desired qualifications Advanced Snowflake features, such as tasks, streams, dynamic tables, and performance tuning. Experience with dbt or a similar transformation and modeling framework. Experience automating data workflows or building AI-ready or AI-enabled data products. Working knowledge of security risk, vulnerability ...

experience. Preferred Skills Experience with gradient-boosted tree models, neural networks, and optimization solvers in production. Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience working closely with data scientists to operationalize research code. Multi-cloud experience across AWS, GCP, and Azure. Background ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real-time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

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 ...

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 ...

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 ...

design, build, and support scalable data pipelines powering Moody’s next‐generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, collaborating with cross‐functional partners to deliver reliable data solutions and continuously improve platform performance and governance. #J-18808-Ljbffr ...

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 ...