11 of 11 dbt Jobs in Leeds

Gold data layers. Strong data engineering experience across batch, streaming and CDC ingestion patterns. Advanced SQL skills and strong Python development experience. Experience using dbt for data transformation and modelling would be highly beneficial. Experience building and optimising ETL/ELT pipelines. Good understanding of data warehousing, dimensional modelling ...

working knowledge Nice-to-have Databricks → AWS (or cross-platform) migration experience — the single strongest signal Parity/statistical testing methodology Data orchestration (Airflow, dbt, Step Functions) Data governance & compliance (PII/GDPR); regulated industry background (iGaming strongly preferred, but FS, banking considered) Soft skills Comfortable working to an established ...

Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert‐level skills in Requirements Engineering ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

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 ...

working with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake Cloud Data Platform, Tableau and Dataiku (or similar). Join us as we redefine travel experiences and create memories for millions of passengers. ...

tooling. Collaborating with analytics teams to enhance reporting and business insight capabilities. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Snowflake SQL dbt Fivetran Power BI THE BENEFITS: You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package. ...

data community What you’ll have: Essential experience: Strong background in analytics engineering, with experience delivering complex transformations using SQL-first approaches, ideally with dbt Delivery-focused analytics engineering leader who combines technical depth, attention to detail, and people leadership. Proven experience understanding, reviewing, and guiding implementation of complex data … driven data sources Familiarity with orchestration tools such as Airflow and modern ELT architectures Experience governing or implementing data CI/CD pipelines (e.g. dbt tests, deployment pipelines, automated checks). We currently use Azure DevOps Working knowledge of Python for analytics engineering or enablement purposes A strong interest ...

well-documented datasets for business use, and working with upstream ingestion and orchestration. You will implement complex data models in our modern data stack (dbt, Snowflake or comparable warehouses) and collaborate with analytics, data science, and visualization teams to ensure data products are fit for purpose #J-18808-Ljbffr ...

fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across … PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management & metadata: Purview AI: Foundry, (including Agent Service), ML Data Product mentality : You build Data Products where every pipeline and dataset is discoverable, addressable ...

third-party sources into a modern cloud data platform. Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads. Building and maintaining data models using dbt to support analytics and reporting requirements. Supporting the development of AI-driven data products and semantic layers. Creating trusted datasets and business-facing data assets … YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python development. Advanced SQL. Building and maintaining data pipelines. Data modelling and warehousing fundamentals. dbt or similar modern transformation frameworks Experience with AWS data services. Exposure to Kafka, Spark, streaming data, or modern BI tools. Interest in AI, analytics engineering ...