26 to 50 of 213 dbt Jobs in the UK

environment, within multi-disciplinary teams, delivering modern data platforms into large organisations. Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life Strong Snowflake experience is preferred, and Databricks experience ...

work Effective stakeholder management across a complex organisation Experience working with international partners and multidisciplinary teams Technical and Systems Familiarity with: GCP/BigQuery dbt or Dataform Git/GitHub workflows Experience integrating data from multiple systems (e.g. CRM, finance, web analytics) Experience using BI tools (e.g. Looker Studio, Tableau ...

Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills Proven experience optimising complex queries Strong understanding of Data Governance, including ...

following: Data engineering: building and maintaining data pipelines, ETL/ELT, SQL, cloud data platforms (for example Azure, AWS or GCP), tools such as dbt, Databricks, Airflow, Snowflake or BigQuery. Machine learning: designing, training, deploying and monitoring models in production, Python, and the ML lifecycle including MLOps. Applied AI: modern ...

data preparation specifically geared toward AI model integration Technical Fluency: A strong conceptual understanding of modern data ecosystems, data warehousing, pipeline orchestration tools (e.g., dbt, Airflow), and data governance standards Cross-Functional Communication: Outstanding stakeholder management skills, with a demonstrated ability to foster collaboration between technical developers and non-technical ...

software catalog configuration, scaffolder templates, or plugin development* Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt* Exposure managing Databricks* Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context* Experience working in regulated ...

engineering environment where data is a strategic priority. Key Responsibilities: Develop, maintain and optimise data pipelines and data products within an AWS, Snowflake and DBT environment. Design and enhance data models that support analytical and operational use cases. Deliver scalable, reliable and performant cloud based data solutions. Collaborate with engineers ...

Infrastructure-as-Code tools such as Terraform Knowledge of DevOps, CI/CD, platform automation, and cloud‐native operational practices Familiarity with Apache Spark, dbt, and modern data integration technologies Delivery Experience Experience leading architecture for enterprise-wide Databricks implementations and cloud data modernization initiatives Proven success delivering scalable ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

This is an opportunity to join at an exciting point in the journey, as the organisation continues to evolve towards a modern, Snowflake- and dbt-led data architecture. You'll have the opportunity to influence engineering standards, build new data products and help shape how data is engineered and used … pipelines and data products across a modern cloud data environment. You'll be involved in: Building and maintaining ELT/data transformation pipelines using dbt and cloud data platforms Developing robust and scalable data pipelines using Python and SQL Designing and maintaining data models to support analytics, reporting and data ...

data engineering practices Strong SQL, with hands‐on experience in BigQuery or a comparable cloud data warehouse Experience building and maintaining data pipelines with dbt or a comparable transformation tool Experience building dashboards and data products end‐to‐end for business stakeholders, ideally in Looker Excellent communication skills — able ...

design, build, and maintain 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, driving platform optimizations and cross-functional collaboration. In this role, you’ll collaborate with product owners and engineering teams, ensure data ...

improve data engineering processes. About You You'll have: 2–4 years' experience in Data Engineering . Strong skills in Python, SQL and DBT . Hands-on experience with AWS and/or Databricks . Knowledge of AWS services including S3, Lambda, Glue, RDS and DynamoDB . Experience with Terraform ...

standards, and effective stakeholder engagement. Desirable Qualifications Advanced architectures: Data mesh, data fabric, real-time/event-driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise: BI tools ...

online/offline evaluation, data leakage prevention, and model governance. Tech Stack Python, SQL, pandas/numpy/scipy, PyTorch/sklearn Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery Docker, Kubernetes (optional), CI/CD (GitHub Actions) Observability: Prometheus/Grafana, OpenTelemetry (or equivalents) Locations and Right ...

deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude. You Should ...

performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience with Kubeflow , Airflow , or dbt . Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with data warehouse technologies ...

major RDBMS (e.g., SQL Server, PostgreSQL, Oracle) and cloud equivalents (e.g., Azure SQL, Snowflake). Experience with ETL/ELT tooling (e.g., SSIS, dbt, Azure Data Factory) and data pipeline design. Understanding of data modelling principles (normalisation, dimensional modelling/star schema for data warehousing). Experience of diagnosing ...

teams in an agile environment What you'll bring: Strong SQL + ETL/ELT experience Knowledge of Python/T-SQL Exposure to DBT Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data This is a great opportunity to join a high ...

hands-on Snowflake architecture and design experience. Proven expertise in Data Vault 2.0 and dimensional modelling methodologies, including Star Schema design. Strong knowledge of dbt and source control practices using GitHub. Experience integrating enterprise data platforms with AWS services and broader cloud ecosystems. Strong understanding of data governance, security ...