51 to 75 of 279 Remote dbt Jobs

volumes, large data volumes, or both. Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies. Strong production Python experience and awareness of other relevant languages (Java/Kotlin) sufficient ...

data contracts, pipeline observability, SLA/SLO definition, and automated alerting and remediation Solid understanding of SQL transformation patterns and modern tooling such as dbt, alongside experience managing ingestion estates with third-party connectors and in-house integrations Clear and confident communicator able to work cross-functionally with non-technical ...

commitments to other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/ ...

modelling Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial Must have experience with Redshift Nice to have: Experience with dbt/lake formation One or more AWS Certifications #J-18808-Ljbffr ...

modelling - Experience with Airflow and infrastructure as a code (Terraform, CloudFormation) would be beneficial - Must have experience with Redshift Nice to have: - Experience with dbt/lake formation - One or more AWS Certifications Applications are now open! - Reach out to Adam Akhtar at Opus for further information. ...

moving the numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards. Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers. Be the embedded analytical partner ...

analysesComfort working in ambiguous, fast-evolving environments where tools and workflows are rapidly changingBonus skills & attributes Experience with data modeling and ETL pipelines (esp dbt)Experience building internal tools, data products or self-serve analytics capabilitiesExperience leveraging AI across the data workflow - from ideation and coding to analysis and communication#LI ...

data and technical tradeoffs. Some travel may be required. Desired qualificationsAdvanced Snowflake features, such as tasks, streams, dynamic tables, and performance tuning. Experience with dbt or a similar transformation and modeling framework. Experience automating data workflows or building AI-ready or AI-enabled data products. Working knowledge of security risk ...

part we consider hardest to buy: translating how the business works into models and numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across ...

data analytics engineering or a closely related data role, including leading projects or teams.Expert proficiency in SQL and experience with complex data modeling (dbt or similar) and data warehousing concepts.Strong programming skills (e.g., Python) and ability to design efficient data pipelines and integrations.Experience setting technical standards and guiding a team ...

role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles and experience applying them to improve data reliability and ownership. Experience designing and enforcing ...

Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar. Confident ...

Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar. Confident ...

Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar. Confident ...

Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and "infrastructure as a code" tools such as Terraform, Salt or similar. Confident ...

Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborativeproduct mindset- comfort working closely ...

advanced analytics — ideally in a hybrid PLG/sales-led SaaS environment Strong 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 product ...

advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong 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 product ...

advanced analytics - ideally in a hybrid PLG/sales-led SaaS environment Strong 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 product ...

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 ...

working with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake Cloud Data Platform, Tableau and Dataiku (or similar). Join us as we redefine travel experiences and create memories for millions of passengers. ...

with NHS or other routine healthcare data at patient level Unity Catalog, Delta Lake and medallion structure, bronze to silver to gold Exposure to dbt and dimensional modelling Experience contributing to vendor or partner relationships, such as with Databricks Experience designing for multi-region operations (UK, Middle East, EU) Flexible ...

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 ...

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 ...

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 ...