1 to 25 of 624 dbt Jobs

Platforms Experience with one or more of: Microsoft Fabric Databricks Snowflake AWS Data Services Azure Data Services Google Cloud Platform (GCP) Analytics Engineering & DataOps dbt or equivalent transformation frameworks. CI/CD implementation and release management practices. Version control and code review methodologies. Experience delivering within modern DataOps environments. Data ...

proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions Experience with dbt for data transformation layer Experience with IaC tooling such as Terraform or CloudFormation Experience with BI tooling such as Power BI or Looker Experience with ...

Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise‐scale ETL/ELT, batch and streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud‐native orchestration services Event streaming: Kafka and cloud‐native event‐streaming technologies Data modelling: Dimensional ...

. Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing data pipelines, ETL/ELT processes and modern data models. Practical understanding of modern data architecture approaches, including Medallion ...

distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation and quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional ...

data safely (GDPR, DSPT, data security). Experience with Git and version-controlled workflows. Experience with stream processing (e.g. Kinesis, Kafka). Familiarity with dbt for data transformation. Knowledge of containerised environments (e.g. Docker, ECS, or EKS). Able to structure data for self-service reporting, the modelling that lets ...

following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure as Code Modern data platforms and distributed processing technologies Experience with Databricks or Hadoop-style data processing environments ...

Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven expertise using transformation tools such as dbt Experience with data pipeline orchestration tools (such as Apache Airflow) Experience with best practices applied to data (e.g., testing, CI/CD) Advantageous Experience developing dashboards and reporting ...

experience with at least one cloud data platform, ideally AWS (e.g., Redshift, RDS, or similar). Exposure to modern data transformation tools such as dbt or similar frameworks. Basic understanding of cloud concepts (networking, storage, security) and CI/CD for data pipelines. An interest in learning new tools ...

Finance to the trusted data sets enabling customer-facing agentic systems. We need a hands‐on builder excited to contribute to our high-quality dbt project, help shape our analytics vision, and support the scaling of our models as we grow. If you thrive in a fast-paced, collaborative team … with high ownership and impact, we'd love to hear from you! Key responsibilities dbt Development: Scale our dbt project, shaping its architecture and CI/CD processes to support company-wide initiatives. Data Modelling & Architecture: Contribute to our data modelling strategy, helping to build and maintain the core ...

Data Engineer Associate) Experience with streaming data (Kinesis, MSK/Kafka) Familiarity with Infrastructure as Code (Terraform/CloudFormation) Experience with orchestration tools (Airflow, dbt) Experience in financial domain #J-18808-Ljbffr ...

other engineering teams will adopt in future data projects. Build, optimise, and maintain data processing frameworks using Python, ensuring performance, scalability, and maintainability. Support DBT integration and best practices for transformation pipelines within Databricks. Apply software engineering principles including: Full development lifecycle management Source control, automated testing, CI/ ...

sustained experience building high-quality, well-governed datasets used broadly across analytics, research, and decision-making functions. Strong background in modern analytics engineering, including dbt-based transformation layers, testing strategies, documentation, and embedded data quality practices in production environments. Proficiency in Python for building and operating data pipelines, orchestration ...

collaboration with all stakeholders. Knowledge of reinsurance or insurance industry concepts is a plus. Technologies DWH (On-premise or cloud – Snowflake preferable) ETL DBT Nice to haves Azure Devops PowerBI/Tableau SNP Glue/Matillion/FiveTran SAP Key Skills & Behaviours Demonstrates an appropriate level of technical skills ...

data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. ...

Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven expertise using transformation tools such as dbt Experience with data pipeline orchestration tools (such as Apache Airflow) Experience with best practices applied to data (e.g., testing, CI/CD) Advantageous Experience developing dashboards and reporting ...

Advanced SQL and analytical data modelling expertise; Experience building governed datasets for analytics, research, and decision-making; Strong background in modern analytics engineering, including dbt, testing, documentation, and data quality practices; Proficiency in Python for data pipelines, orchestration, and automation; Solid software engineering fundamentals, including version control, testing ...

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 ...

problems beyond standard GUI tooling. Proven ability to introduce and sustain Agile delivery practices, backlog management, and effort estimation within technical teams. Experience with dbt/analytics engineering, data function rebuilds, or working within healthcare/regulated data environments is highly desirable. Excellent communication skills, with the ability to clearly ...

workflows, coupled with rigorous validation of code, data transformations and analytical conclusions. Desirable Skills and Experience Experience with Azure Data Lake, Azure Data Factory, dbt, Airflow, MLflow, Power BI, Microsoft Purview or comparable tools. Experience with search indexes, vector databases, graph databases, knowledge graphs, ontologies or master-data-management techniques. ...

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 ...

CloudHealth. Experience with cloud data platforms and warehouses, for example Snowflake, Databricks, BigQuery or Redshift. Exposure to modern data engineering tooling and practices, including dbt, Airflow, Git-based version control and CI/CD for data. Experience with IT cost management strategies, models and tooling, including chargeback and cost recovery ...

experience with GCP data services including BigQuery, Cloud Composer (Airflow), Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Vertex AI. Advanced proficiency in dbt, Python, and SQL for designing, building, and optimizing cloud-native data platforms and transformations. Strong expertise in ETL/ELT architecture , data pipeline development, data modelling ...

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 ...

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 ...