126 to 150 of 184 dbt Jobs in London

Due to the nature of some of the companies clients. you must have a minimum of 5 years continuous UK residency. Data Engineer, Data Platform, Azure, Google Cloud, Airflow, DBT, Medallion, SQL, Python, Data Engineering, Dashboards, Data implementation, CI/CD, Data Pipelines, GCP, Cloud, Data Analytics Are you passionate about building scalable data solutions that drive real business impact … will work on a variety of projects including the implementation of medallion structures for clients in different industries, data migrations and designing, implementing dashboards using technologies such as python, DBT on Azure and GCP platforms. Key Skills the Senior Data Engineer will have: 3+ years Data Engineering experience Good experience with both Azure and GCP Excellent experience of DBT, SQL … data? Apply now and become part of a business where data drives every decision. Please send your CV to peter.hutchins @ circlerecruitment.com Data Engineer, Data Platform, Azure, Google Cloud, Airflow, DBT, Medallion, SQL, Python, Data Engineering, Dashboards, Data implementation, CI/CD, Data Pipelines, GCP, Cloud, Data Analytics Circle Recruitment is acting as an Employment Agency in relation to this vacancy. More ❯

and optimising data pipelines, enabling analytics and AI, and integrating enterprise systems like CRM, HR, and Finance. Key Responsibilities Design and develop scalable data pipelines using Azure Data Factory, dbt, and Synapse Build enriched datasets for Power BI and AI/ML use cases Implement CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in … data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects Collaborate with architects, analysts, and data scientists Be part of a supportive, innovative, and forward-thinking team Competitive salary And more Please More ❯

and optimising data pipelines, enabling analytics and AI, and integrating enterprise systems like CRM, HR, and Finance. Key Responsibilities Design and develop scalable data pipelines using Azure Data Factory, dbt, and Synapse Build enriched datasets for Power BI and AI/ML use cases Implement CI/CD workflows Ensure GDPR compliance and secure data handling Requirements: 5+ years in … data engineering or Strong experience with Azure, Databricks, Microsoft Fabric, and Snowflake Proficiency in SQL, Python, and tools like dbt and Airflow Familiarity with DevOps practices in a data context Benefits: Work on impactful, enterprise-wide data projects Collaborate with architects, analysts, and data scientists Be part of a supportive, innovative, and forward-thinking team Competitive salary And more Please More ❯

behavioral data in real time . Alongside this, you'll work on the foundational components that continue to make Snowplow powerful and flexible for data teams: developing and maintaining dbt packages that help customers accelerate their time to insight. This is a role for someone who enjoys bridging data collection, transformation through SQL-based models, and high-level intelligence - enabling … emerging agentic experiences. What you'll be doing: Developing and maintaining a suite of production SQL data models used by our customer base and the community. Primarily focusing on dbt for packaging and execution. Building out our offering around data modeling. You won't just work on the data models themselves - you'll work closely with Product and the wider … and maintainability, and developing in-depth understanding of cloud data warehouses and common web and mobile analytics use cases. We'd love to hear from you if: SQL and DBT are your thing . You master SQL, including manipulation of large data sets, performance tuning, etc You're adept with both batch and streaming data processing . You have experience More ❯

environments, managing multiple priorities and meeting deadlines. Proficiency in SQL (BigQuery), Python, Git/GitHub, and preferably Looker (Tableau or PowerBI are acceptable as well) Above average knowledge of DBT, Docker, GCP, and Airflow Experience in the cryptocurrency industry, fintech sector, or platform-type businesses is preferred but not required. Personal Attributes Analytical mindset with a passion for data-driven … principles thinking to drive efficient solutions Highly ambitious with a results-oriented attitude and continuous improvement mindset Technologies you will work with Python SQL (BigQuery) GCP EPPO for experimentation DBT, Docker, Cloud Run/Kubernetes, and Airflow for data orchestration and data pipelines Looker data visualization Git and GitHub for code collaboration Ability to leverage AI tools such as Cursor More ❯

day. You will work with the Lead Data Engineer and other members of the Data Engineering team to deliver our new strategic enterprise data platform based on Snowflake and DBT, while also maintaining our legacy data platform. Key Responsibilities: Data warehouse design and implementation working towards the creation of a single source of truth. Development of data ingestion/transformation … pipelines using Fivetran, DBT and Gitlab. Creation of management information dashboards. Work with business analysts and end-users to plan and implement feature enhancements and changes to existing systems, processes and data warehouses. Working with internal staff and third parties (suppliers and partners) to plan and develop new databases, extracts and reports. Assist with the migration from legacy data platforms More ❯

Senior Data Engineer (3-Month Contract) Trailmix is an award-winning studio based in the heart of London, backed by mobile giants Supercell. We are actively growing the talented team behind our hit game Love & Pies , and setting up new More ❯

you will be doing Data Modelling & Engineering: Gather requirements from stakeholders and design scalable data solutions Build and maintain robust data models and exposures in the data warehouse using dbt, Snowflake, and Looker Document architectural decisions, modelling challenges, and outcomes in a clear and structured way Wrangle and integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google … or in a similar role You will have proven experience in designing and maintaining data models for warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control More ❯

you will be doing Data Modelling & Engineering: Gather requirements from stakeholders and design scalable data solutions Build and maintain robust data models and exposures in the data warehouse using dbt, Snowflake, and Looker Document architectural decisions, modelling challenges, and outcomes in a clear and structured way Wrangle and integrate data from multiple third-party sources (e.g., Salesforce, Amplitude, Segment, Google … or in a similar role You will have proven experience in designing and maintaining data models for warehousing and business intelligence You will have advanced SQL skills; experience with dbt and/or Looker is strongly preferred You will be proficient with modern data platforms (e.g., Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow) You will have experience with version control More ❯

Substantial experience designing and implementing data solutions on Microsoft Azure Hands-on expertise with Snowflake, including data modelling, performance optimisation, and secure data sharing practices. Proficiency in DBT (Data Build Tool), with a strong understanding of modular pipeline development, testing, and version control. Familiarity with Power BI,particularly in integrating data models to support both enterprise reporting and self-service … analytics. Candidates must demonstrate experience working in Agile environments, delivering in iterative cycles aligned to business value. Tech Stack: Azure Power BI DBT Snowflake About us esynergy is a technology consultancy and we build products, platforms and services to accelerate value for our clients. We drive measurable impact that is tightly aligned to our clients' business objectives. Put in practice More ❯

data queries and manipulation Demonstrable experience with Tableau or similar data visualisation tools, including the ability to create insightful and user-friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply More ❯

data queries and manipulation Demonstrable experience with Tableau or similar data visualisation tools, including the ability to create insightful and user-friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply More ❯

beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Model usage based economics - Build and maintain dbt models in Snowflake that translate raw product telemetry into ARR, margin, and unit economics views. Forecast revenue & costs - Design Python driven Monte Carlo and statistical models to project usage, revenue … data quality - Define testing, reconciliation, and data quality SLAs so Finance can audit every revenue and cost metric back to source. Mentor analysts & engineers - Provide best practice guidance on dbt design patterns, Snowflake optimization, and Python analytical tooling. About You: 7+ years in analytics or data science roles focused on Finance (SaaS or usage based preferred). Deep hands on More ❯

to inform strategic decisions both at the Board/Executive level and at the business unit level. Key Responsibilities Design, develop, and maintain scalable ETL pipelines using technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset Work closely with stakeholders across the company to gather data requirements and setup dashboards Promote a data driven culture at Notabene and train, upskill … working in data engineering with large sets of data. Ex: millions of students, transactions. Proven experience in building and maintaining ETL pipelines and data infrastructure Strong experience working with dbt core/cloud Business savvy and capable of interfacing with finance, revenue and ops leaders to build our business intelligence Expertise in data governance, best practices, and data security, especially More ❯

practices (e.g. TDD, CI/CD), and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of … Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift detection and alerting. Understanding of Data Management principles (security and data privacy) and how they can be applied to Data Engineering processes More ❯

someone who enjoys working across the full BI stack, from pipeline development to data modelling and stakeholder engagement, and who thrives in a cloud-native environment using tools like dbt, Fivetran, and Redshift. The Opportunity This is more than just an engineering role. As a Senior Data Warehouse Engineer, you'll: Help redesign and modernise the existing data warehouse using … automation. Enforce best practices for data quality, lineage, and documentation. Collaborate cross-functionally with analysts, engineers, and key stakeholders to deliver impactful data solutions. Implement CI/CD for dbt transformations and establish robust version control workflows. Support advanced techniques such as incremental loads, partitioning, and snapshotting. Contribute to production rollouts and empower internal teams through knowledge transfer and training. … of hands-on experience designing and managing modern data warehouses (ideally in Redshift) Advanced SQL skills and strong understanding of data modelling (star/snowflake schemas) Deep expertise in dbt - including documentation, testing, and CI/CD Proficiency with Python or Bash for automation and orchestration Familiarity with pipeline orchestration tools (e.g., Airflow) Knowledge of data governance, lineage, and quality More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in More ❯

We're looking for a Lead Data Engineer to join SN Data - Data Competence Centre within Springer Nature Operations. Springer Nature is a leading publisher of scientific books, journals, and magazines with over 3000 journal titles and one of the More ❯

Before submitting your application, you should read our privacy notice to understand how Bupa will use, store and share your information. For Australia or New Zealand candidates - Before submitting your application, you should read our privacy notice to understand how More ❯

metrics and dashboards they're presented with - Consumers can self-serve if needed - Consumers can retrieve data via automation What you'll do: Build, document and consult on: Using dbt to model analytics for business domains using a data mesh framework. Charts and dashboards using modern BI tools Comprehensive testing frameworks using tools like dbt_expectation and elementary to ensure … models. Build monitoring and alerting tools for gathering insight on AE performance This role requires Experience in the following Languages: SQL (Advanced) Jinja (Advanced) Experience with the following tools: dbt Core Git A Cloud warehouse provider e.g. Databricks, GCP, Snowflake The following would be nice to have Experience in the following Languages: Python Experience with the following tools: Github Lightdash More ❯

Job Title : Data Engineer - Snowflake | DBT | SQL £700/day (Umbrella) London - 3 days per week on-site 6 months (Initial Contract) Are you ready to play a key role in shaping the future of a high-impact enterprise data platform? Join a fast-growing data team working on a greenfield data warehousing project at one of the world's … most respected financial institutions. This is an opportunity to work on cutting-edge data infrastructure using Snowflake, DBT, and Sigma, supporting business-critical data needs and enabling meaningful insights at scale. You'll be part of a collaborative team split across London and Ireland, contributing to a platform that directly supports secure, scalable data sharing and real-time decision-making. … What You'll Be Doing : Model and build robust, scalable data pipelines and warehouse structures using Snowflake and DBT Collaborate with stakeholders to ensure data solutions meet customer and business needs Develop and optimise data models to support real-time analytics and long-term scalability Contribute to platform architecture, data governance, and overall data strategy Use Sigma (or similar BI More ❯

Job Title : Data Engineer - Snowflake | DBT | SQL £700/day (Umbrella) London - 3 days per week on-site 6 months (Initial Contract) Are you ready to play a key role in shaping the future of a high-impact enterprise data platform? Join a fast-growing data team working on a greenfield data warehousing project at one of the world's … most respected financial institutions. This is an opportunity to work on cutting-edge data infrastructure using Snowflake, DBT, and Sigma, supporting business-critical data needs and enabling meaningful insights at scale. You'll be part of a collaborative team split across London and Ireland, contributing to a platform that directly supports secure, scalable data sharing and real-time decision-making. … What You'll Be Doing : Model and build robust, scalable data pipelines and warehouse structures using Snowflake and DBT Collaborate with stakeholders to ensure data solutions meet customer and business needs Develop and optimise data models to support real-time analytics and long-term scalability Contribute to platform architecture, data governance, and overall data strategy Use Sigma (or similar BI More ❯

data queries and manipulation Demonstrable experience with Tableau or similar data visualisation tools, including the ability to create insightful and user-friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply More ❯

leading consultancy at the forefront of data transformation. If you're looking to move beyond routine projects and work on technically varied initiatives, this contract allows you to drive dbt implementations and enhance data modelling strategies. You'll also have the opportunity to mentor others and refine best practices, positioning yourself as a key player in the dbt ecosystem. THE … strong reputation in the sector, consistently evolving to meet the demands of modern data platforms. Working here will not only strengthen your CV but also provide invaluable experience in dbt-driven data transformations across diverse industries. We have placed both contract and permanent candidates here, with highly positive feedback on the collaborative culture and technical innovation. THE ROLE As an … insights. You will also be responsible for post-project documentation, ensuring clear communication with both technical and non-technical stakeholders. Your key responsibilities will include: Designing and implementing scalable dbt models for efficient data transformation. Optimising ELT pipelines, ensuring clean and well-structured data for analytics. Enhancing dbt best practices, including modularity, testing, and version control. Collaborating with data engineers More ❯