26 to 50 of 110 Remote dbt Jobs

Ideal Candidate Proven analytics engineering experience, with production models you've built that other people depend on. Excellent SQL and hands-on Dataform or dbt (testing and documentation included), ideally on BigQuery, with an eye for cost as well as correctness. Strong data modelling: you can take a messy source ...

Experience with relational databases; PostgresSql/Snowflake experience is a plus. Experience designing and operating ETL pipelines and data models in production Familiarity with dbt, AWS, Docker, Kubernetes (EKS), Kafka, Redis, and cloud data infrastructure is preferred Experience working with financial, transactional, or time series data is strongly preferred Some ...

security and governanceAbility to collaborate effectively with technical and non-technical stakeholdersExperience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageousKnowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficialDesirable Experience: Databricks certificationsExperience working with retail or consumer packaged goods data, including ...

data governance and platform security, and the ability to lead technically and mentor others within a growing engineering function Hands-on experience with dbt or comparable modern transformation frameworks, plus Python applied to data integration, automation, or pipeline work, alongside experience managing production pipelines and CI/CD processes ...

data governance and platform security, and the ability to lead technically and mentor others within a growing engineering function Hands-on experience with dbt or comparable modern transformation frameworks, plus Python applied to data integration, automation, or pipeline work, alongside experience managing production pipelines and CI/CD processes ...

engineering improvements that outlast individual projectsHas knowledge of GDPR and data security best practicesUnderstands data storage, data modelling principles, best practices and tools (e.g. dbt)Communicates with clarity and confidence, able to lead design discussions, articulate technical trade-offs to non-technical stakeholders, and build alignment across teamsIs curious, self ...

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 ...

evolve the platform. Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding: PresetOther: ClaudeWhat we're looking forStrong fundamentals and the ability to apply them ...

evolve the platform. Experience is helpful, but not essential:Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding: PresetOther: ClaudeWhat we’re looking forStrong fundamentals and the ability to apply them ...

translate business requirements into practical analytical solutions. Strong understanding of data governance, quality, security and enterprise data environments . Desirable Python, notebooks or dbt experience. Forecasting, predictive analytics or machine-learning experience. Experience working with CRM, finance, commercial or operational datasets. Background within financial services, professional services, fund administration ...

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 ...

compute as a resource to manage, not ignorePlatform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into pipelines (RAG, semantic ...

science or advanced analytics — ideally in a hybrid PLG/sales-led SaaS environmentStrong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster)Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables)Experience working directly with ...

science or advanced analytics — ideally in a hybrid PLG/sales-led SaaS environmentStrong Python and SQL; experience with data modelling and pipeline tools (dbt, Airflow, Dagster)Deep expertise in predictive modelling, causal inference, survival analysis, and experimentation (A/B, diff-in-diff, instrumental variables)Experience working directly with ...

Data Platform environments Experience defining standards and best practices across multiple technical teams Strong understanding of data modelling and architecture principles Experience working with dbt in modern data environments Experience with Infrastructure as Code, ideally Terraform Good understanding of CI/CD practices and engineering workflows Strong stakeholder management ...

improve the way data is managed. You'll ideally have experience with: Snowflake and cloud-based data platforms. Building and maintaining data pipelines. dbt and data quality/testing frameworks. Azure, particularly Azure Functions or similar cloud-based services. SQL and data transformation. Data modelling and engineering for analytical ...

including working with senior stakeholders and technical teams. Understanding of data quality, governance and GDPR. Strong analytical and problem-solving skills Experience of Snowflake, dbt, Azure, Power BI semantic models, Agile delivery or working within the higher education sector would be advantageous. If you have the relevant experience and would ...

stakeholder management skills, including working with senior stakeholders and technical teams.Understanding of data quality, governance and GDPR.Strong analytical and problem-solving skillsExperience of Snowflake, dbt, Azure, Power BI semantic models, Agile delivery or working within the higher education sector would be advantageous.If you have the relevant experience and would like ...

with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore how we use analytics and Data Science ...

with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore how we use analytics and Data Science ...

reliability Contributing to the wider data and AI strategy Your Skills & Experience Strong people leadership within data or platform engineering Deep Snowflake and DBT expertise Experience delivering large-scale data platform programmes Strong SQL and Python skills Data architecture and governance experience Agile delivery leadership Excellent stakeholder management and communication ...

skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. You have experience with SQL, python/R, dbt (ideally) and building data pipelines. You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple ...

requirementsMaintain existing database and reporting solutions across the full SQL Server suite, including SSIS/SSRS packagesBuild data pipelines using modern tooling such as dbt, alongside existing SSIS/SSRS where relevantData architectureOwn schema and data model design decisions, applying sound data warehousing principles to both operational and analytical workloadsAssess … versioning, rollback strategies, and production release validationSolid experience modelling, designing, and deploying database solutions using Microsoft's SQL Server Data ToolsHands-on experience with dbt for data transformation, building version-controlled, testable pipelinesExperience with Power BI, including paginated/report-server style reporting, for both interactive and operational reporting needsStrong ...

governance foundations are built/adhered to.Material expertise in data modelling techniques (conceptual, logical, and physical) and relevant toolsets (e.g., ER/Studio, Erwin, dbt, SQLmodelling frameworks)Complementary experience in enterprise application, integration, and technology architectures with material experience in business architecture.Strong knowledge of enterprise data platforms, public cloud services ...

role in building and maintaining core datasets, ensuring data quality and accessibility. Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization. Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating ...