1 to 25 of 149 dbt Jobs

version control Strong communication skills with both technical and non-technical stakeholders Desirable Skills: Microsoft Fabric Azure Synapse Analytics Databricks Apache Spark/PySpark dbt Apache Airflow Power BI Azure DevOps CI/CD pipelines Terraform What's On Offer: £65k+ salary package Hybrid working model Company bonus scheme Private ...

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/ ...

review code for correctness, and its impact on software architecture. Lead the development of high-performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources. Provide mentorship and direction to more junior software engineers on the team; serve as an advanced resources ...

review code for correctness, and its impact on software architecture. Lead the development of high-performance ETL/ELT pipelines using tools like dbt, Python, Airflow and more to integrate diverse data sources. Provide mentorship and direction to more junior software engineers on the team; serve as an advanced resources ...

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 ...

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 ...

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 ...

cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role‐based access, privacy, GDPR/PII handling ...

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 ...

cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role-based access, privacy, GDPR/PII handling ...

analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments ...

platforms, migrating legacy environments into cloud-native solutions using the latest AWS and Snowflake technologies. Key skills: Snowflake, Teradata & Informatica Python & SQL AWS, Airflow & DBT GitHub & CI/CD ETL & Data Warehousing Control-M, Unix/Linux Data Modelling & Performance Optimisation You'll design and optimise scalable data pipelines, modernise ...

resource to manage, not ignore Platform 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 search, evals ...

environment, within multi-disciplinary teams, delivering modern data platforms into large organisations. Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life Strong Snowflake experience is preferred, and Databricks experience ...

theory and practice, in designing systems, handling sensitive data, automating data processing that will support data presentation and interpretation. Highly Advanced SQL Server, SSIS DBT or Snowflake Advanced knowledge of Python and SQL Advanced data modelling knowledge Good knowledge of Electronic Health Record systems (e.g. Cerner/Epic ...

software catalog configuration, scaffolder templates, or plugin development* Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt* Exposure managing Databricks* Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context* Experience working in regulated ...

engineering environment where data is a strategic priority. Key Responsibilities: Develop, maintain and optimise data pipelines and data products within an AWS, Snowflake and DBT environment. Design and enhance data models that support analytical and operational use cases. Deliver scalable, reliable and performant cloud based data solutions. Collaborate with engineers ...

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 ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

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 ...

design, build, and maintain scalable data pipelines powering Moody’s next-generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, driving platform optimizations and cross-functional collaboration. In this role, you’ll collaborate with product owners and engineering teams, ensure data ...