76 to 100 of 434 dbt Jobs

PostgreSQL migration projects. Knowledge of modern analytics platforms such as Databricks, Snowflake, Synapse, Fabric, or Redshift. Familiarity with ETL/ELT tooling including dbt, Airflow, Informatica, Talend, SSIS, or similar technologies. Contract Details Position: Data Architect Engagement: 3-6 Month Contract Day Rate: £400 per day IR35: Outside IR35 Location ...

Azure , with GCP particularly desirable Knowledge of technologies such as BigQuery, Snowflake, Redshift, Synapse, Databricks or equivalent Experience with modern tooling such as dbt, Airflow and Terraform , or comparable technologies Strong knowledge of ETL/ELT and data integration patterns Understanding of CI/CD, automated testing and DataOps practices ...

designing and operating production data platforms across cloud infrastructure, orchestration, ingestion and SQL transformation layersPractical experience with GCP, BigQuery, Terraform, Kubernetes, Dagster, dlt and dbt - or equivalent tools with the ability to articulate transferable reasoningDemonstrated ability to make and document architecture decisions that involve meaningful trade-offs across multiple teams ...

data. We're Looking For Someone Who Is: Comfortable with data querying, modeling, and transforming in at least one core tool, including SQL/dbt/Python/Business Intelligence tools/Product Analytics tools, etc. Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure ...

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 ...

reporting and treasury operations in retail bankingExposure to Python, Go or similar languages.Experience working with orchestration frameworks such as Airflow/LuigiHave previously used dbt, dataform or similar tooling.Used to AGILE ways of working (Kanban, Scrum)The Interview Process:Our interview process involves 3 main stages: 30 minute recruiter call45 ...

reporting and treasury operations in retail bankingExposure to Python, Go or similar languages.Experience working with orchestration frameworks such as Airflow/LuigiHave previously used dbt, dataform or similar tooling.Used to AGILE ways of working (Kanban, Scrum)The Interview Process:Our interview process involves 3 main stages: 30 minute recruiter call45 ...

stakeholders.What Would Make You Stand Out:Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel).Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling.Familiarity with BI platforms (e.g., Qlik, Power BI, Tableau) and their extensibility models.Understanding of vector databases, RAG architectures ...

practices and capability development. Supporting innovation and the adoption of new technologies across projects. Your Skills & Experience Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment. Advanced SQL, data modelling, cloud data warehousing, and database design ...

practices and capability development. Supporting innovation and the adoption of new technologies across projects. Your Skills & Experience Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker. Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment. Advanced SQL, data modelling, cloud data warehousing, and database design ...

engineering improvements that outlast individual projectsHas knowledge of GDPR and data security best practicesUnderstands data storage, data modelling principles, best practices and tools (e.g. dbt)Communicates with clarity and confidence, able to lead design discussions, articulate technical trade-offs to non-technical stakeholders, and build alignment across teamsIs curious, self ...

large-scale data processingHands-on experience with Databricks and Delta LakeSolid understanding of the end-to-end data lifecycle (ingestion transformation serving)Experience with dbt for transformations and Terraform for infrastructure as codeFamiliarity with CI/CD pipelines and modern data engineering best practicesStrong grounding in data modelling, quality ...

inheriting years of technical debt, you'll have the opportunity to influence architecture, standards, and ways of working from the beginning. Tech Stack: * Snowflake * dbt * Python * AWS * PowerBI Responsibilities: * Designing, developing, and evolving scalable Data Warehouse and ELT solutions * Driving modern DataOps practices including CI/CD, GitOps, testing ...

equivalent depth in another modern cloud data platform. A proven track record designing ELT and ETL pipelines and analytical data models. Practical experience with dbt, orchestration frameworks, Git and CI/CD. A genuine commitment to data quality, testing and observability. Sound engineering judgement, knowing when to build ...

understand performance and make confident decisions. Using data to investigate business challenges, identify trends and uncover opportunities to improve performance. Writing SQL and using dbt to build and maintain robust data models. Taking ownership of analytical work from the initial business question through to recommendation, delivery and measurement of impact. ...

BigQuery, Redshift or similar). Experience building dashboards and analytical products in a Business Intelligence tool (e.g. Tableau, Looker, Power BI). Experience using dbt or similar data transformation frameworks within a modern data stack.Desirable Experience with digital experimentation and A/B testing frameworks. Familiarity with marketing attribution models ...

explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position.Previous professional experience:Data transformations using dbt, including patterns for large, complex projectsData storage (SQL/NoSQL): schema design, modelling at scale, and multi-tenant isolationBack-end engineering: Python (nice to have ...

data platforms using Snowflake.Define and enforce data architecture standards, including modeling, naming conventions, and best practices.Design and implement robust ETL/ELT pipelines using DBT and cloud-native tools.Collaborate with global stakeholders (business, analytics, clinical, and IT teams) to translate requirements into scalable solutions.Drive data governance, lineage, cataloging, and quality ...

quantify marketing's contribution to pipeline and bookings, in partnership with our GTM/RevOps analytics.Own marketing data models and the semantic layer. Author dbt models on BigQuery integrating HubSpot, Salesforce, Google Analytics and Amplitude, and own the Omni semantic layer so the team gets self-serve answers ...

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 ...

Experience with schema versioning, contract testing, and backward‐compatibility strategies 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 ...

Looking For Core Skills & Experience Experience in analytics engineering, data engineering, or product analytics Strong SQL and experience working in Databricks/Spark/DBT/Python Solid understanding of behavioural and event based data modelling Hands‐on experience with product analytics platforms (e.g. Mixpanel, Adobe or similar) Experience building ...

strong command of advanced analytical patterns Expert visualisation skills and report and dashboard building, preferably in Power BI and Sigma Hands-on experience with dbt for developing, testing, and maintaining analytics-ready data models. Stakeholder management and working across multiple performance streams in the business, up to director level Ability ...

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 ...