101 to 125 of 889 dbt Jobs in the UK

analytical queries Hands-on experience building and operating data pipelines with an orchestration framework. Dagster or Airflow is highly desired ; equivalent experience with Prefect, dbt or a comparable tool is relevant if you're ready to work in Dagster/Airflow Strong Python , or another language you use fluently ...

analytical queries Hands-on experience building and operating data pipelines with an orchestration framework. Dagster or Airflow is highly desired ; equivalent experience with Prefect, dbt or a comparable tool is relevant if you're ready to work in Dagster/Airflow Strong Python , or another language you use fluently ...

analytical queries Hands-on experience building and operating data pipelines with an orchestration framework. Dagster or Airflow is highly desired equivalent experience with Prefect, dbt or a comparable tool is relevant if you're ready to work in Dagster/Airflow Strong Python , or another language you use fluently ...

including areas such as: KYC AML Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills Why Apply? Opportunity ...

Including Areas Such As KYC AML Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills #J-18808-Ljbffr ...

frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar. Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural ...

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 ...

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 ...

data clearly to non-technical stakeholders. Professional-level English, written and spoken. Desirable: Experience with Python for data wrangling or automation. Experience with dbt or similar data transformation tools. Experience working with AI-assisted analytics or AI tools in a data environment. Experience working in an async and remote environment ...

However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as: Proficient SQL; familiarity with PySpark is beneficial dbt Microsoft Fabric SQLMesh 5. Core Engineering Skills Strong Python, with good documentation and unit testing practices Comfortable in an agile delivery environment Able to communicate ...

databases. Experience with data integration and exchange, transfer, load processes. Experience with data visualization tools such as Tableau, Power BI, or D3.js. Familiarity with dbt/Prophecy good to have, but not essential. About the Company Thank you for your interest in a career with Clearwater! Clearwater Analytics (NYSE: CWAN ...

analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals ...

such as Power BI or Tableau Excellent communication skills You might also have: Familiarity with DevOps style data model development through packages such as DBT Familiarity with commonly used cloud based infrastructures such as Snowflake, Microsoft Azure etc. A good understanding of version control systems such as Git or Perforce ...

refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines, and Python for automation Solid understanding of star schemas ...

stakeholders to deliver high-quality solutions. Even better if you have Databricks certifications. Experience with Unity Catalog, MLflow or Databricks Asset Bundles. Familiarity with dbt or similar data transformation frameworks. Exposure to Kafka, Event Hubs or other streaming technologies. Experience working with retail or consumer packaged goods data, including point ...

engineering, or a related field; a master's degree is a plus. Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Strong problem-solving skills and analytical thinking. Excellent communication skills with ...

data engineering, or a related field; a master's degree is a plus.Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure.Proficiency in SQL, Python, and data manipulation libraries and frameworks.Strong problem-solving skills and analytical thinking.Excellent communication skills with the ability to collaborate ...

Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs into scalable, reusable data products … working knowledge of the wider Google Cloud Platform (GCP) ecosystem. Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure‐as‐code tooling . A solid understanding of data modelling, dimensional modelling, orchestration, testing ...

Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs into scalable, reusable data products … working knowledge of the wider Google Cloud Platform (GCP) ecosystem. Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling . A solid understanding of data modelling, dimensional modelling, orchestration, testing ...

streaming architectures on Snowflake Snowpipe, Snowpipe Streaming, Dynamic Tables, Streams and Tasks, external tables, and Apache Iceberg tables along with orchestration standards (dbt, Airflow, Snowflake Tasks) and CI/CD/DataOps best practices.Implement security-by-design in Snowflake: RBAC, tag-based governance (ABAC), dynamic data masking, row/column … semantic design, including Snowflake semantic views and Horizon Context.Strong ELT/ETL and orchestration background Snowflake-native pipelines (Snowpipe, Dynamic Tables, Streams, Tasks), dbt (including dbt Projects on Snowflake), Airflow, Azure Data Factory, Informatica, or similar.Hands-on experience with major cloud platforms (AWS, Azure, or GCP) including Snowflake deployment, networking ...

Kafka as our message transport Flink for (near) real time processing Datahub as our catalog BigQuery as our warehouse Airflow (GCP Composer) for scheduling DBT for data transformation Montecarlo for monitoring The platform here encompasses the end-to-end, first for real time/streaming use cases but also ...

operating ETL/ELT pipelines. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar technologies is expected). Collaboration: Ability to work effectively ...

databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance ...

large-scale data architectures. Deep hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Collaboration: Ability to work effectively with cross-functional stakeholders ...

Vitally) to a central BigQuery data warehouse. You can expect to work with the following tech stack: BigQuery, Python, HubSpot, Zuora, and Vitally plus dbt, Fivetran/Census, or Airflow depending on your background. What you bring You’ll thrive in this role if you have: Proven experience building ...