101 to 125 of 178 Remote/Hybrid dbt Jobs

experience selling customer data platforms, data integration, developer tools, cloud infrastructure, or AI infrastructure. Familiarity with technologies such as Snowflake, Databricks, BigQuery, Redshift, Kafka, dbt, or related modern data platforms. Experience selling infrastructure or consumption‐based software. Prior experience at a company navigating a major product or platform transformation (e.g. ...

organisations - you have the battle scars to show as well as depth of technical experience. Our Stack is Vue, Ruby on Rails, Postgres, Terraform, dbt, AWS, GCP - You'll have many years of experience in these technologies. Demonstrated success managing software development, systems architecture, infrastructure management, IT infrastructure, third-party ...

modular, and reusable code.Nice-to-HavesData Modelling Expertise: Practical experience with Star Schema and Kimball methodologies.Modern Data Stack: Experience using Databricks for processing and dbt for transformation workflows.Global Delivery: Experience building data products designed for multi-region or multi-client environments.Kaluza ValuesHere at Kaluza we have five core values that ...

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 ...

complex customer journeys and conversion funnels. It would also be advantageous to have: Product Growth Analytics experience Customer lifecycle, retention, churn or LTV analysis dbt Python or R Experience using AI tools within analytical workflows Dashboarding experience This is a product analytics role rather than a marketing analytics role ...

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 ...

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. ...

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 ...

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 ...

their best work.You’ll collaborate closely with our analytics engineering team, building a clean, highly scalable marketing data modeling infrastructure in Snowflake (using dbt)Work closely with Marketing Leadership on complex questions to drive the most optimal growth strategiesSuggest and perform analysis of landing pages, A/B test, audiences ...

running orchestration. Infra: AWS, Terraform, strong observability via Sentry and Datadog (full‐stack, not just logs). Data: we lean heavily on Snowflake, Omni, dbt, Fivetran, Amplitude and Segment — and we’ve even built some of our own tooling to understand how well we’re helping our members. ...

both technical and non-technical audiences. A proactive mindset, with the confidence to identify opportunities and make recommendations independently. Exposure to Python, R, dbt, or AI-powered analytics tools would be beneficial. What They Offer Salary of £65,000 - £70,000. Performance-related bonus. Generous equity package. Fully remote working ...

both technical and non-technical audiences. A proactive mindset, with the confidence to identify opportunities and make recommendations independently. Exposure to Python, R, dbt, or AI-powered analytics tools would be beneficial. What They Offer Salary of £65,000 - £70,000. Performance-related bonus. Generous equity package. Fully remote working ...

both technical and non-technical audiences. A proactive mindset, with the confidence to identify opportunities and make recommendations independently. Exposure to Python, R, dbt, or AI-powered analytics tools would be beneficial. What They Offer Salary of £65,000 - £70,000. Performance-related bonus. Generous equity package. Fully remote working ...

both technical and non-technical audiences. A proactive mindset, with the confidence to identify opportunities and make recommendations independently. Exposure to Python, R, dbt, or AI-powered analytics tools would be beneficial. What They Offer Salary of £65,000 - £70,000. Performance-related bonus. Generous equity package. Fully remote working ...

segmentation, cohort analysis, metrics decomposition, experimentation, causal inference, or product opportunity sizing.Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets.LLM-ready data thinking: You understand what makes data usable ...