1 to 25 of 162 Permanent dbt Jobs

Databricks, Azure Data Factory, Snowflake, or similar Good programming skills in Python and SQL, with familiarity with data engineering libraries (e.g., pandas, PySpark, dbt) Solid understanding of data modelling, ETL/ELT processes, and Lakehouse concepts Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control ...

Synapse, Data Factory) Experience with AWS (Redshift, Glue), GCP (BigQuery), or Databricks-based lakehouse architectures Integrate modern tools for ingestion and transformation (ADF, Fivetran, dbt) Support orchestration frameworks such as Airflow or Fabric Pipelines Analytics & Reporting Enablement Configure presentation-layer workspaces Develop semantic data models Deliver at least one Power ...

Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain, and enhance reporting ...

. Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse architectures. Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code. Strong problem-solving ...

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 ...

Able to influence and collaborate effectively at all levels. Eye for detail and high standards in everything you produce. Desirables Hands-on experience with dbt, Dataform or equivalent transformation and orchestration frameworks. Experience with Terraform or equivalent infrastructure-as-code tooling. Familiarity with statistical, ML or AI concepts, and ideally ...

Python, PySpark, and SQL. Good understanding of ETL/ELT pipelines and data transformation. Experience with data modelling and database optimisation. Strong knowledge of DBT and SQL best practices. Experience using CI/CD and version control tools such as Git and Jenkins. Experience with orchestration tools such as Airflow. ...

field. 7-10 years of experience in data engineering, with significant leadership and project management experience. AWS, Snowflake, Azure AWS Glue, AWS Appflow, Prefect, dbt, S3, Qlik SQL, Python, Java Exceptional ability to influence and engage senior leaders with data-driven insights. Expert in resolving complex, high-stakes problems with ...

tooling to analytics work (such as Copilot for Power BI/Fabric, MCP-style integrations or agentic assistants). Experience with Microsoft Fabric, dbt, Azure DevOps/GitHub Actions and data-quality tooling. This is an excellent opportunity to join a forward-thinking analytics function within an established and respected ...

Snowflake Data Cloud Account Administration Virtual warehouse strategies Snowflake feature implementation: Data Sharing, Time Travel, and Zero-copy cloning Role-based Access Control strategies Dbt Managing dbt cloud environment Managing multi-repository dbt projects Creating and managing dbt models Creating and leveraging dbt macros Version control & branching strategies (Github ...

Python and SQL skills Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar Hands-on experience with transformation frameworks such as dbt or Spark Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks Strong understanding of data modeling principles across analytical and operational systems ...

with one or more cloud platforms and services ( AWS, Azure, GCP ) Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala ...

business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data ...

refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines, and Python for automation Solid understanding of star schemas ...

Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure ...

vault concepts) Experience designing and operating ELT/ETL pipelines Familiarity with data quality frameworks, SLA monitoring and lineage tracking Experience with Snowflake and dbt Proficiency with AWS Experience with version control, CI/CD and testing Comfortable working in Agile environments (Jira, Confluence) Proactive, collaborative mindset with a willingness ...

with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala ...

Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern ...

automation best practices to execute the financial management function more efficiently. Implements scalable solutions to existing problems using Python, SQL, Power BI, dbt models, and automated data workflows. Delivers well-analyzed financial forecasts supported by robust data models and version-controlled transformations, aligned with the business strategic direction and budget. ...

Maths, Economics, Data Science is desirable. Advanced SQL skills and experience with analytical/dimensional modelling. Practical experience with modern ELT tools (Dataform/dbt) and Git workflows. Knowledge of cloud data warehouses, ideally BigQuery. Familiarity with orchestration tools such as Airflow. Experience designing BI-friendly datasets, particularly for Power ...

maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including ...

maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including ...

Previous experience or understanding of data modelling Strong Python, SQL and Terraform skills AWS services (GCP considered) Nice to have: CI/CD Snowflake Dbt Iceberg Kimball/Datavault Git Dagster BENEFITS The chance to help shape a growing data platform and engineering culture Clear progression opportunities as the data ...

Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for varying business requirements. Advanced knowledge of dbt and Git-based development practices. Strong experience designing cloud-based data solutions, including integrations across AWS and Azure environments. Proven track record implementing CI/ ...

both technical and non-technical stakeholders. What will you bring to the team? Balanced technical capability spanning large-scale data engineering (ETL/DBT) and data analytics. Deep expertise in SQL, proficiency with Python, and a solid understanding of data modeling principles. Hands-on experience with cloud data platforms, ideally ...