1 to 25 of 407 Permanent dbt Jobs

specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).Knowledge of data warehousing concepts and technologies.Experience contributing to proposals, scoping ...

specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).Knowledge of data warehousing concepts and technologies.Experience contributing to proposals, scoping ...

specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).Knowledge of data warehousing concepts and technologies.Experience contributing to proposals, scoping ...

specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).Knowledge of data warehousing concepts and technologies.Experience contributing to proposals, scoping ...

specifications, and client-ready deliverables.Desirable Experience with advanced analytical techniques, such as machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).Knowledge of data warehousing concepts and technologies.Experience contributing to proposals, scoping ...

transfer to production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ ...

data transformation tools which may include but are not limited to: -Data Querying - Structured Query Language (SQL), Python – Essential, C# -idealData Engineering – Microsoft ADF, DBT - EssentialDatabase & Fabric – Snowflake, Promethium and Microsoft FabricData Visualization - Microsoft Power BI, TableauVersion Control – Git, DataOps.live, and experience of CI/CD for data pipelines.Good ...

/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring experience. Familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration/integration tools. Familiarity with enterprise AI platforms — Azure AI, AWS SageMaker, Google Vertex ...

scalable data solutions. Technical Expertise: Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.Strong SQL and Python (or equivalent language) skills for data manipulation and automation.Hands-on experience with cloud platforms (AWS, Azure, GCP).Knowledge ...

data modelling principles Excellent problem-solving skills with a delivery-focused mindset Comfortable working within cross-functional engineering teams Nice to Have Experience with dbt Exposure to streaming technologies such as Kafka Experience within a high-growth SaaS or technology business Familiarity with Infrastructure as Code (Terraform) Experience supporting machine ...

Golang, Java, Kotlin, TypeScript, or Rust Data Platforms: BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, MySQL, MongoDB, or other SQL/NoSQL technologies Data Tooling: Airflow, dbt, AWS Glue, Step Functions, Spark, Hadoop, or similar tooling Infrastructure: AWS, Terraform, Docker, Kubernetes, or other cloud/platform technologies CI/CD: GitHub Actions ...

Comfortable working both independently and as part of a client-facing team Nice to Have Prior consulting or client-facing delivery experience Familiarity with dbt, Fivetran, Matillion, or similar tooling Programming in Python, Java, or Scala Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP) Exposure to DataOps ...

e.g., Tableau), and native cloud services like AWS or GCP.What will set you apart:Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform.Platform Specifics: Hands-on experience with Databricks.Modeling Expertise: Practical knowledge of Kimball’s dimensional modeling. Here at Kaluza we have five core values that ...

subscription platforms, ad tech, and social media. Proven ability to automate and optimise data workflows, using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user engagement analytics ...

pipelines, ETL/ELT frameworks, orchestration tooling, and data engineering best practices. Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data Factory, Airflow, Kafka, or equivalent tooling. Relevant certifications such as Snowflake SnowPro, Databricks Certified Data Engineer, or cloud platform certifications would ...

scalable data solutions.Technical Expertise• Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).• Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.• Strong SQL and Python (or equivalent language) skills for data manipulation and automation.• Hands-on experience with cloud platforms (AWS, Azure ...

expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).• Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.• Strong SQL and Python (or equivalent language) skills for data manipulation and automation.• Hands-on experience with cloud platforms (AWS, Azure ...

solid understanding of ETL pipelines and data transformation. Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like SparkSQL. Experience with CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow. A collaborative mindset ...

coding skills. Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift. Experience with data transformation tools such as dbt, or Dataflow. Understanding of data modeling techniques. Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset. Understanding of software engineering best practices ...

pipelines and large-scale data architectures.Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).Ability to work effectively with cross-functional stakeholders, translating technical ...

teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling (dimensional, entity-relationship, event-driven) Understanding of marketing data ...

using and integrating BI tools such as QuickSight, Looker, Power BI, Tableau • Business Intelligence (BI) knowledge/experience • Knowledge on tools like Terraform, Airflow, DBT and Harness • Modern data engineering practises The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

warehousing.Excellent SQL coding skills.Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift.Experience with data transformation tools such as dbt, or Dataflow.Understanding of data modeling techniques.Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset.Understanding of software engineering best practices and their application ...

/CD, automated testing, code review, monitoring and observability. Strong experience of data modelling for reporting and analytics, using tools and approaches such as dbt or equivalent. Strong understanding of data quality, governance, security and data management best practices. Experience managing engineering delivery using agile ways of working. Strong communication ...

marketing teams to align data solutions with business needsRequirementsStrong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)Experience with cloud data platforms (e.g., Azure, AWS, or GCP)Proficiency in data modelling (dimensional, entity-relationship, event-driven)Understanding of marketing data ecosystems ...