26 to 50 of 175 dbt Jobs in England

data analysis and manipulation is desirable Understanding of data pipelines and transformation workflows, with an interest in developing further using tools such as dbt Experience with BI and data visualisation tools such as ThoughtSpot, Tableau or Power BI Ability to validate data and apply quality assurance processes Confident communicator, comfortable ...

fast-scaling consumer business. Strong hands-on technical ability across data warehousing, ETL/ELT tooling, and BI/visualisation platforms (e.g. SQL, dbt, Fivetran/Stitch, Looker/Power BI/Tableau, or similar). Track record of automating manual reporting processes and driving adoption of self-serve dashboards ...

production setting. Experience working with GCP native data toolset is preferred. Having built ELT or ETL pipelines processing large amounts of data. Experience with dbt or Airbyte is preferred. Experience developing production Spark or Hadoop applications Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/ ...

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 ...

optional) Markets Sales analytics use cases (targeting, next-best action, coverage effectiveness, pipeline) plus market data and pre/post-trade analytics; Kafka and dbt exposure a plus. Hands-on coding in Python, SQL, and PySpark for pipelines and production analytics/ML; Java/C++ or kdb+/ ...

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 ...

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 ...

tool (e.g. Tableau, Omni, Looker, Power BI) and strong SQL is essential. Desirable skills: · Ideally has experience with the tech stack (Tableau, Databricks, Snowflake, dbt ). · Exposure to AI-assisted development or analytics tools (e.g. Claude, Copilot) is a plus. · Degree or Masters in a numerate subject such as statistics ...

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 ...

data engineer to design, build, and scale data pipelines powering its next-generation digital content platform. You’ll work with DataBricks, Snowflake, Airflow, dbt (SQL), and Python within AWS to deliver robust data solutions. Join a collaborative team and contribute to platform optimization, governance, and scalable architectures while mentoring peers ...

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 ...

reliable ELT workflows. Improve data quality and observability. Optimise platform performance and scalability. Automate workflows using CI/CD best practices. Requirements: Strong SQL, dbt and TypeScript experience. Experience with AWS cloud services. Production-grade data engineering experience. ELT and data pipeline expertise. MUST HAVE experience within Crypto/Web3. ...

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 ...

About You You'll bring: Extensive experience in Data Engineering and modern cloud data platforms (AWS preferred). Strong SQL expertise and experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience ...

statistical modeling in a product environment. Expertise in Python or R, fluency in SQL, and experience with large‐scale data tech (Databricks, Airflow, dBT a plus). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree (MS, PhD) in a quantitative field preferred. Exceptional communication ...

with cross-functional teams. A proactive and solutions-focused approach to problem-solving. Excellent communication and documentation skills. Technical Skills: SQL Snowflake Python Desirable DBT Airbyte Job Offer Located by Trafford Park we are easily commutable from Manchester, Liverpool, Warrington and other surrounding areas. Salary ranging from ...