151 to 175 of 503 dbt Jobs

translate business requirements into practical analytical solutions. Strong understanding of data governance, quality, security and enterprise data environments . Desirable Python, notebooks or dbt experience. Forecasting, predictive analytics or machine-learning experience. Experience working with CRM, finance, commercial or operational datasets. Background within financial services, professional services, fund administration ...

commitments to other projects during this period. Qualifications Must‐Have Data Engineering : Experience with SQL , Python , ETL , ELT , and tools like Spark , Kafka , Airflow , dbt , Snowflake , BigQuery , or Databricks on AWS , GCP , or Azure . Sales : Experience as Account Executives, Account Managers, Customer Success Managers, SDRs, BDRs, or Sales/ ...

working with Databricks, ideally including Unity Catalog, Jobs/Workflows and PySpark. An understanding of infrastructure as code and reproducible deployment practices. Familiarity with dbt and modern data warehouse/lakehouse patterns. PureGym is proud to be an equal opportunities employer. Our company mantra is 'Everybody Welcome ...

similar coding assistants as part of the software development lifecycle.* Experience designing, building, and operating data pipelines and ETL/ELT workflows using Databricks, dbt, and Apache Airflow.**Preferred Skills & Experience*** Experience with frameworks like ReactJS, Angular, or Vue.js to build interactive and responsive user interface.* Experience building or designing ...

Snowflake sandpit. You will manage and optimise the environment, loading, transforming and extracting data, building scalable models and pipelines using dbt and SQL, and applying IG-compliant security roles so the right people have safe access to the right data. You will create and maintain our portfolio of BI outputs ...

with the Director of Data Platform and Directors in other functions such as Product, Engineering, Partnerships, Finance and Marketing. Our stack includes AWS, Snowflake, dbt, Looker, Python, R and other best in class, modern tooling for business reporting, experimentation, and analysis. We are heavily invested in advanced AI-enhanced analytics ...

Blackpool, United Kingdom | Posted on 18/09/2026 Scrumconnect Consulting is a multi-award-winning UK public sector digital consultancy, positively influencing the lives of over forty million UK citizens. We bring deep ...

dollars under management. As a Senior Data Engineer you'll build and optimise reliable data pipelines and integrations using Python, SQL, Dagster, Snowflake, DBT and C#, while leveraging agentic AI tooling to accelerate delivery. You'll play a key role in shaping a new Snowflake based data platform, influencing architecture ...

modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking for. Demonstrated fluency with AI automation tooling: using LLMs and agents to integrate systems, accelerate delivery ...

moving the numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards. Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers. Be the embedded analytical partner ...

business structures, stores or consumes its data Deep understanding of data modelling, pipeline design and distributed data architecture Experience with Dataform or dbt for data transformation Demonstrated use of AI in data engineering – AI-assisted pipeline development, automated quality checks, or similar practical applications Experience mentoring and developing engineers Experience ...

reached. Desirable Skills and Experience Exposure to Microsoft Fabric or Databricks through coursework, projects, internships or early‐career work; familiarity with scikit‐learn, Spark, dbt, Power BI or comparable tools is useful. NLP, information extraction, embeddings, document analysis, network or graph analysis, or time‐series project experience. A portfolio, dissertation ...

synthetic control, difference in differences, etc.). Previous experience with Databricks, Snowflake, Looker; Previous experience with Apache Spark, Knowledge of data orchestration tools (e.g. dbt and Airflow). Experience in marketplaces or digital businesses, ideally in performance marketing. Why you’ll love it at Preply: An open, collaborative, dynamic ...

data serving layer for Grafana and Analytics (via Databricks/MLflow), unblocking the Data Science team. Mentorship: Upskill the existing team in good practices (dbt, git workflows, SQL optimisation, data modelling). Experience & Background Pragmatic Architect: Capable of making trade-offs between “academic perfection” and “business value”. They must ...

Azure DevOps or GitHub Actions) Confident engaging senior stakeholders Desirable Databricks certifications Legacy warehouse migration to Databricks Azure Data Factory, Kafka or Event Hubs, dbt, Purview or Collibra ...

Azure DevOps or GitHub Actions) Confident engaging senior stakeholders Desirable Databricks certifications Legacy warehouse migration to Databricks Azure Data Factory, Kafka or Event Hubs, dbt, Purview or Collibra WKCL1_UKTJ ...

Azure DevOps or GitHub Actions) Confident engaging senior stakeholders Desirable Databricks certifications Legacy warehouse migration to Databricks Azure Data Factory, Kafka or Event Hubs, dbt, Purview or Collibra ...

Snowflake ecosystem* Understanding of operational technology data, technology assets, dependencies, relationships and end-to-end flows within a large enterprise* Solution architecture across Snowflake, DBT and SqlDBM, including data modelling and schema design* AWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with Azure* Experience with ...

business acumenStrong data transformation skills using python and SQL, with hands-on experience of modern code-based transformation and ingestion frameworks, such as dbt core and dltFluent in a modern software engineering environment, such as CI/CD, Docker/Kubernetes, Linux, version control, with a good understanding of DataOpsPractical ...

opportunity sizing, forecasting, prioritisation and scenario modelling. You’re proficient in SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python and Lightdash. You’re comfortable owning analytics from data transformation through to actionable insights. You’re an expert at crafting dashboards ...

experience. Preferred Skills Experience with gradient-boosted tree models, neural networks, and optimization solvers in production. Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience working closely with data scientists to operationalize research code. Multi-cloud experience across AWS, GCP, and Azure. Background ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...

LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability ...