201 to 225 of 917 Permanent dbt Jobs

month initial contract 1x per month in London office INSIDE IR35 Technical info Tableau/Power BI Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online More ❯

month initial contract 1x per month in London office INSIDE IR35 Technical info Tableau/Power BI Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online More ❯

month initial contract 1x per month in London office INSIDE IR35 Technical info Tableau/Power BI Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online More ❯

month initial contract 1x per month in London office INSIDE IR35 Technical info Tableau/Power BI Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online More ❯

month initial contract 1x per month in London office INSIDE IR35 Technical info Tableau/Power BI Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online More ❯

month initial contract 1x per month in London office INSIDE IR35 Technical info Tableau/Power BI Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online More ❯

month initial contract 1x per month in London office INSIDE IR35 Technical info Tableau/Power BI Palantir Foundry (not essential) SQL, Snowflake & DBT Python AWS If you're available for a new contract, please apply online More ❯

environment Drive continuous improvements to architecture, infrastructure, and workflow automation Core Tech Stack: Must-have : Google Cloud Platform (GCP), Apache Airflow Nice-to-have : dbt, Terraform, Kubernetes Bonus : Familiarity or curiosity about generative AI tools (e.g. ChatGPT) Ideal Candidate: 4+ Years experience in a Data/Platform engineering role Proven More ❯

environment Drive continuous improvements to architecture, infrastructure, and workflow automation Core Tech Stack: Must-have : Google Cloud Platform (GCP), Apache Airflow Nice-to-have : dbt, Terraform, Kubernetes Bonus : Familiarity or curiosity about generative AI tools (e.g. ChatGPT) Ideal Candidate: 4+ Years experience in a Data/Platform engineering role Proven More ❯

environment Drive continuous improvements to architecture, infrastructure, and workflow automation Core Tech Stack: Must-have : Google Cloud Platform (GCP), Apache Airflow Nice-to-have : dbt, Terraform, Kubernetes Bonus : Familiarity or curiosity about generative AI tools (e.g. ChatGPT) Ideal Candidate: 4+ Years experience in a Data/Platform engineering role Proven More ❯

environment Drive continuous improvements to architecture, infrastructure, and workflow automation Core Tech Stack: Must-have : Google Cloud Platform (GCP), Apache Airflow Nice-to-have : dbt, Terraform, Kubernetes Bonus : Familiarity or curiosity about generative AI tools (e.g. ChatGPT) Ideal Candidate: 4+ Years experience in a Data/Platform engineering role Proven More ❯

QUALIFICATIONS 5+ years of experience in data engineering, ideally in high-scale or distributed environments. Proven expertise in data technologies such as Spark, Airflow, DBT, Kafka, Snowflake, and/or Databricks. Hands-on experience applying DevOps principles to data pipelines: CI/CD, version control, monitoring, and testing. Strong ability More ❯

like AWS Lambda, AWS Glue, AWS SageMaker, and AWS Redshift. Experience with cloud-based data warehousing and transformation tools such as Delta Lake Tables, DBT, and Fivetran Familiarity with machine learning and open-source machine learning ecosystems. Hands-on experience with integration tools and frameworks such as Apache Camel and More ❯

to users throughout Trustpilot Design, build, maintain, and rigorously monitor robust data pipelines and transformative models using our modern data stack, including GCP, Airflow, dbt, and potentially emerging technologies like real-time streaming platforms Develop and manage reverse ETL processes to seamlessly integrate data with our commercial systems, ensuring operational More ❯

and integration from various sources, ensuring accuracy, consistency, and handling missing values or outliers. Proficient in designing and implementing ELT pipelines using tools like dbt, with strong knowledge of data warehousing, data lake concepts, and data pipeline optimization. Skilled in SQL for data manipulation, analysis, query optimisation, and database design. More ❯

across the entire data and engineering stack. Tech Stack AI Engineering: Python, LangChain, LlamaIndex, LangGraph AI Models: OpenAI, Anthropic, Gemini, Custom Models Data Tools: DBT, BigQuery Databases: PostgreSQL, OpenSearch, Redis Product Engineering: TypeScript (Full-stack) Infrastructure: Serverless, AWS, Google Cloud, GitHub Actions Requirements Strong academic background in a relevant field More ❯

Understanding of data architecture and data engineering, and ML ops. Experience with CPG/Pet Health/Professional Indirect Industries preferred. Proficiency with SQL, dbt beneficial. Proficiency with Python or R beneficial. Able to manage multiple concurrent projects independently, meet deadlines in a fast-paced environment and with a high More ❯

scope projects, disseminate results, and build confidence with stakeholders from varied backgrounds Experience with analytical and BI tools such as Tableau (experience with Git, dbt is a plus) Experience building complex operational and financial models, synthesising recommendations, and presenting to senior executives Strong prioritisation skills and sense of urgency; understanding More ❯

Key Tech Environment Cloud: AWS/Azure/GCP (2+ preferred) Data Platforms: Databricks, Snowflake IaC: Terraform, Pulumi, CI/CD pipelines Orchestration: Airflow, dbt, data ingestion frameworks DevOps: GitHub Actions, Jenkins, Docker, Kubernetes 📌 What We're Looking For Strong platform/infrastructure engineering experience within data environments Experience deploying More ❯

Key Tech Environment Cloud: AWS/Azure/GCP (2+ preferred) Data Platforms: Databricks, Snowflake IaC: Terraform, Pulumi, CI/CD pipelines Orchestration: Airflow, dbt, data ingestion frameworks DevOps: GitHub Actions, Jenkins, Docker, Kubernetes 📌 What We're Looking For Strong platform/infrastructure engineering experience within data environments Experience deploying More ❯

Key Tech Environment Cloud: AWS/Azure/GCP (2+ preferred) Data Platforms: Databricks, Snowflake IaC: Terraform, Pulumi, CI/CD pipelines Orchestration: Airflow, dbt, data ingestion frameworks DevOps: GitHub Actions, Jenkins, Docker, Kubernetes 📌 What We're Looking For Strong platform/infrastructure engineering experience within data environments Experience deploying More ❯

whose first language is not English. Design and implement Data Vault data models based on input from diverse teams Develop and maintain DBT (Data Build Tool) workflows and data pipelines Integrate and transform data from various sources within a GCP environment Act as a central point of contact for multiple … years of recent, hands-on experience with Data Vault (modeling and implementation) Strong experience working in Google Cloud Platform (GCP) Proficiency with DBT (Data Build Tool) Excellent communication skills - ability to explain complex topics clearly and adapt to various audiences Proactive and social mindset - comfortable initiating conversations and aligning with More ❯

SQL, Data Warehousing. · Hands on experience working in Insurance (Prior working experience with L&G will be a advantage) · 3+ years of experience in DBT for Data Transformation. · Deep understanding of Agile methodologies in Data environment. · Familiarity with Power BI. More ❯

SQL, Data Warehousing. · Hands on experience working in Insurance (Prior working experience with L&G will be a advantage) · 3+ years of experience in DBT for Data Transformation. · Deep understanding of Agile methodologies in Data environment. · Familiarity with Power BI. More ❯

SQL, Data Warehousing. · Hands on experience working in Insurance (Prior working experience with L&G will be a advantage) · 3+ years of experience in DBT for Data Transformation. · Deep understanding of Agile methodologies in Data environment. · Familiarity with Power BI. More ❯