201 to 225 of 371 dbt Jobs in England

with the broader internal/external ecosystem. On day one you we will expect you to have: Experience working with modern data technology (e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.) Solution engineering/solution architect experience in a Saas environment or relevant industry experience (analytics, data science ...

ownership models for data consumers, and you’re excited to do this at scale.You have deep fluency with analytics engineering systems and infrastructure. dbt at scale, BigQuery or equivalent, CI/CD for data, testing frameworks, and orchestration. You don’t just use these tools, you shape how teams ...

devs with modern AI coding assistants and are building internal workflows and investigating as many uses as possible (docs, unit tests, migrations)Data: BigQuery, dbt, Looker, Spark, PythonLife @MaltRemote Culture: Strong remote culture with most of the team working full-remote from countries where Malt has a physical office ...

product and engineering team on tooling by gathering requirements, testing releases, and building supporting order UIs and visualisationsAnalysing Supply Chain & Logistics data in Databricks, dbt, and SQL to identify trends and recommend data-driven improvements to KPIs such as OTIF and waste costRepresenting Supply Chain & Logistics in Convenience tribe planning ...

concerns (SQL injection, XSS, CORS, cookies, authentication and authorisation) Nice to have: Kubernetes, Prometheus, Grafana, Argo Workflows, GitHub Actions, Elasticsearch/OpenSearch, PostgreSQL, BigQuery, dbt data pipelines, Fastly, Storybook, component libraries and design systems, Bun. You will not tick every box on this list, and we would rather you applied ...

logic or high-scale fields like Fintech, Gaming, Healthcare Tech, Logistics, Security/Cryptography or similar.Working knowledge of modern data tooling - ideally Snowflake and dbt - used to build analytical or reporting pipelines.Knowledge of messaging frameworks and event-driven patterns (e.g. Kafka).The salaryWe expect to pay from ...

detection, alongside a clear sense of when simpler rules-based approaches are the better choice Experience with cloud data tooling such as BigQuery, Spark, dbt, Airflow or similar Experience building tooling for operational or investigative teams, and partnering closely with the people who use it Interest in AI safety ...

Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong ...

Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong ...

suite of interactive dashboards and diagnostic reports using Tableau and other modern BI tools.Innovating with our advanced tech stack, which includes Snowflake, DBT, and the integration of AI and Data Science.Partnering with senior stakeholders across Finance and Product to align competing priorities and drive critical company decisions.Where ...

Experience influencing product strategy through data-driven recommendations A proactive and curious approach, with the ability to identify opportunities independently Exposure to Python, R, dbt, or AI-enabled analytics workflows would be advantageous What They Offer Fully remote working across the UK Private healthcare and wellbeing support Home office allowance ...

work cross-functionally with senior stakeholders, align priorities, and scope analytical delivery in complex environments.Technical foundation in analytics engineering, ideally building data pipelines with DBT, working with cloud data warehouses, scheduling/orchestration of data pipelinesIdeally, experience in payments, fintech, financial products, pricing, billing, treasury, or adjacent financial domains.Additional InformationBring ...

devs with modern AI coding assistants and are building internal workflows and investigating as many uses as possible (docs, unit tests, migrations)Data: BigQuery, dbt, Looker, Spark, PythonLife @MaltRemote Culture: Strong remote culture with most of the team working full-remote from countries where Malt has a physical office ...

platform development and help drive engineering best practice across the team. Responsibilities Develop and maintain Snowflake data models, transformations and pipelines. Build and enhance dbt models, testing frameworks and deployment processes. Develop Python utilities and services for data integration and automation. Support Azure Data Factory, Azure Functions and CI/… stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure DevOps or GitHub. ...

platform development and help drive engineering best practice across the team. Responsibilities Develop and maintain Snowflake data models, transformations and pipelines. Build and enhance dbt models, testing frameworks and deployment processes. Develop Python utilities and services for data integration and automation. Support Azure Data Factory, Azure Functions and CI/… stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure DevOps or GitHub. ...

platform development and help drive engineering best practice across the team. Responsibilities Develop and maintain Snowflake data models, transformations and pipelines. Build and enhance dbt models, testing frameworks and deployment processes. Develop Python utilities and services for data integration and automation. Support Azure Data Factory, Azure Functions and CI/… stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure DevOps or GitHub. ...

platform development and help drive engineering best practice across the team. Responsibilities Develop and maintain Snowflake data models, transformations and pipelines. Build and enhance dbt models, testing frameworks and deployment processes. Develop Python utilities and services for data integration and automation. Support Azure Data Factory, Azure Functions and CI/… stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation and data processing. Azure DevOps or GitHub. ...

maintaining ETL/ELT pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data … . Strong command of the AWS data stack: S3, Glue, EMR, Lambda, Aurora, and orchestration tools such as Airflow. Proficiency in Python, SQL, and DBT; familiarity with IaC tooling such as Terraform. Comfortable operating across customer‐facing technical discussions and internal engineering leadership. Experience managing distributed or remote teams across ...

Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. Our Snowflake data lake platform sits at the centre of that ...

delivery of data and analytics programmes, ensuring alignment with business goals, timelines, and quality standards. Planning, tracking, and managing complex technical dependencies across Snowflake, dbt, Airflow, and GitHub‐based development workflows. Collaborating closely with data engineering and analytics teams to support Snowflake architecture, performance optimisation, and cost management. Overseeing dbt … skills/knowledge/experience: Proven experience in a Technical Program Manager, Technical Project Manager, or similar role. Strong hands‐on understanding of Snowflake, dbt, GitHub, and Airflow in a production environment. Demonstrable experience delivering data engineering or analytics platform programmes. Solid understanding of modern data stacks, ETL pipelines ...

Query Power Pivot Complex formulas and modelling techniques Preferred Skills: Experience working with Databricks in a modern data platform environment. Knowledge of dbt (Data Build Tool) for data transformation and modelling. Familiarity with cloud-based data platforms, particularly Microsoft Azure. Experience working with data engineering or ETL pipelines. Exposure ...

Funding Circle seeks an Analytics Engineer/Data Quality Engineer to join our London-based data team. This hybrid role involves building robust dbt data models, enforcing data quality rules, and shaping data foundations for high-growth areas. You'll collaborate with analysts and data scientists to improve accuracy, implement ...

delivering complex backend or data infrastructure projects.You have deep expertise in distributed systems and data engineering, with hands-on experience in tools like Snowflake, dbt, Fivetran, or similar modern data stack technologies.You can navigate the intersection of engineering and finance — understanding concepts like revenue recognition, reconciliation, and auditability well enough ...

rebuild.Data people trust by default Certified marts stay accurate and documented as volume and source count grow; breaking changes get caught by CI and dbt tests, not discovered by a stakeholder in a dashboard.A faster, more autonomous team Engineers ship models confidently without you reviewing every line; your reports … tickets, because you communicate early and their reporting hasn't broken under them.What You'll Do:Own the data platform end-to-end — the dbt project (staging intermediates marts), CI/CD, and the Snowflake infrastructure it runs on.Design and lead the onboarding of new data sources onto the platform ...

Data Engineer (Snowflake, DBT, AWS) Basildon, UK - 5 Days Onsite Required Inside IR35, 6-Month Contract We are looking for an experienced Data Engineer to join a major data transformation programme within a leading enterprise organisation. This role will focus on building and optimising scalable data pipelines, data warehouse solutions … cloud-based analytics platforms using Snowflake, DBT, and AWS . Key Responsibilities Design, build, and maintain ETL/ELT pipelines for enterprise-scale data integration. Develop and enhance DBT models following engineering best practices. Implement data ingestion and transformation solutions within Snowflake. Perform data mapping and transformation from source systems ...