1 to 25 of 101 dbt Jobs

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. Core Values Play to win, Solve ...

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 ...

What matters is what you have built, what you can show, and how you think about problems. Nice to have: hands-on experience with dbt, Dataform or equivalent transformation and orchestration frameworks; familiarity with Terraform or equivalent infrastructure-as-code tooling; comfort with vector databases, embeddings, or semantic search ...

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 ...

Skills & Experience 3+ years' experience in Data Engineering with a focus on ETL/ELT development. Strong SQL and Python programming skills. Experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Experience working with cloud platforms, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Knowledge ...

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 ...

years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building ...

years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building ...

Power Query, Tableau, Looker/LookML, Qlik or equivalent) Solid grasp of dimensional modelling, semantic layers and reporting layer design Familiarity with ELT tools (dbt, ADF, Fivetran, Matillion or similar) Comfortable with Git-based workflows and BI deployment pipelines Working knowledge of Python or R for data preparation and automation ...

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 ...

driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools• Data quality, governance and performance optimisation• Working well with technical and non-technical teamsThe senior role needs someone ...

reviews and engineering best practices. Collaborate with technical stakeholders to deliver business requirements. Support ongoing platform development and improvement initiatives. Technical Environment AWS Snowflake dbt Required Skills & Experience Strong Data Engineering experience. Hands-on expertise with AWS, Snowflake and dbt. Strong SQL skills. Experience building and supporting modern cloud-based ...

reviews and engineering best practices. Collaborate with technical stakeholders to deliver business requirements. Support ongoing platform development and improvement initiatives. Technical Environment AWS Snowflake DBT Required Skills & Experience Strong Data Engineering experience. Hands-on expertise with AWS, Snowflake and dbt. Strong SQL skills. Experience building and supporting modern cloud-based ...

experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading or mentoring engineers Strong communication and stakeholder engagement ...

refinement, sprint planning, and UAT support. Experience with cloud‐based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and reporting solutions. Familiarity with modern analytics engineering ...

Data Warehouse and data platform architecture Dimensional data modelling RBAC, governance and data masking Monitoring, data quality and operational support Advanced SQL and Python dbt or similar transformation frameworks Along with the technical, you will also be able to showcase a clear and succinct communication style, which enables ...

utilities, financial services, health, etc.) is advantageous. Desirable Experience with data mesh, domain-driven design, or federated data ownership models. Experience with Great Expectations, dbt tests, or enterprise DQ tooling. Knowledge of MDM, reference data management, and semantic modelling. Experience with streaming platforms (Kafka, EventHub) and API-based integration. Understanding ...

Solid hands on Data Engineering experience Advanced SQL and Python Strong experience with AWS and modern warehousing tech - Redshift in particular Experience with dbt or similar transformation tooling A good understanding of data modelling, governance and semantic layer design Experience with agentic AI or AI-assisted tooling within data workflows ...

platforms including: Google BigQuery Snowflake Microsoft Fabric Experience designing scalable, enterprise-grade data architectures. Strong understanding of modern data engineering tooling and practices, including dbt and cloud-native services. Technical Mindset Highly hands-on and technically credible. Comfortable diving into existing pipelines, transformations, and codebases rather than operating solely ...

online/offline evaluation, data leakage prevention, and model governance. Tech Stack Python, SQL, pandas/numpy/scipy, PyTorch/sklearn Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery Docker, Kubernetes (optional), CI/CD (GitHub Actions) Observability: Prometheus/Grafana, OpenTelemetry (or equivalents) Locations and Right ...

schema versioning, contract testing, and backward‐compatibility strategies**Data Engineering*** Experience building and operating data pipelines on cloud data platforms* Strong working knowledge of **dbt** for data transformations, testing, and documentation* Familiarity with Snowflake data modelling, optimisation, and cost‐aware design* Understanding of data quality, lineage, and observability concepts**DevOps ...

schema versioning, contract testing, and backward‐compatibility strategies**Data Engineering*** Experience building and operating data pipelines on cloud data platforms* Strong working knowledge of **dbt** for data transformations, testing, and documentation* Familiarity with Snowflake data modelling, optimisation, and cost‐aware design* Understanding of data quality, lineage, and observability concepts**DevOps ...

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 Python, SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar ...

analysts, and business stakeholders. Strong understanding of data platform reliability, performance, scalability, and cost optimisation. Experience with technologies such as ClickHouse, Apache Iceberg, BigQuery, dbt, Elasticsearch, Druid, GCP, or AWS is highly desirable. If you're an experienced Senior Data Engineer looking to lead complex data platform projects ...

schema management principles. Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs. Hands-on experience using Airflow, dbt or similar orchestration and transformation tools. Experience working with large, complex and varied datasets. Not the Right Fit If Your background is heavily focused ...