151 to 175 of 218 dbt Jobs in London

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 ❯

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 ❯

TO THE TEAM You bring a deep understanding of how to transform raw data into clean, reliable and analysis-ready datasets. You’re fluent in SQL and experienced with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation … use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: Design, build and maintain data models within our DBT codebase, transforming raw data into clean, tested, and documented datasets ready for analytics and activation. Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines. … Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills SQL – proficient; confident in writing performant, well-structured SQL with full understanding of ANSI standards. DBT – strong working knowledge; experienced in building, testing, and documenting models as the central tool for transformation and semantic modelling. Python – some experience; able to use and adapt scripts and tooling More ❯

TO THE TEAM You bring a deep understanding of how to transform raw data into clean, reliable and analysis-ready datasets. You’re fluent in SQL and experienced with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation … use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: Design, build and maintain data models within our DBT codebase, transforming raw data into clean, tested, and documented datasets ready for analytics and activation. Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines. … Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills SQL – proficient; confident in writing performant, well-structured SQL with full understanding of ANSI standards. DBT – strong working knowledge; experienced in building, testing, and documenting models as the central tool for transformation and semantic modelling. Python – some experience; able to use and adapt scripts and tooling 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 ❯

are relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform … are achievable , and driv ing a culture of iterative improvemen t. Modern data stack - hands-on deploy ment and govern ance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran , Airflow, AWS , GitHub, Terraform, etc ) for self-service workloads . Thought leadership and influencing - deep interest in data platforms landscape to build well-articulated proposals that are supported by 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 ❯

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 ❯

help clients make smarter, data-driven decisions. The Role As an Analytics Engineer, you’ll design and build scalable, production-ready data pipelines and analytics infrastructure using tools like dbt, SQL, Python, and cloud data warehouses. You’ll work end-to-end—from scoping to delivery—on projects that directly impact clients’ strategic decisions. The role is highly technical and … Key attributes of the suitable Analytics Engineer include: A few years of experience in analytics or data engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working More ❯

help clients make smarter, data-driven decisions. The Role As an Analytics Engineer, you’ll design and build scalable, production-ready data pipelines and analytics infrastructure using tools like dbt, SQL, Python, and cloud data warehouses. You’ll work end-to-end—from scoping to delivery—on projects that directly impact clients’ strategic decisions. The role is highly technical and … Key attributes of the suitable Analytics Engineer include: A few years of experience in analytics or data engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working 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 ❯

our data infrastructure. This position will focus on migrating existing data pipelines from our legacy platform-primarily built on Talend and Jenkins-to our modern data stack powered by dbt Cloud and Snowflake. This is a hands-on engineering role that requires strong technical expertise, practical migration experience, and the ability to work closely with data teams and business stakeholders. … environments, we'd love to meet you. What you will be doing Contribute towards the end-to-end design and migration of data pipelines from Talend/Jenkins to dbt Cloud and Snowflake Spearhead the migration of legacy data pipelines from Jenkins/Talend to dbt/Snowflake, ensuring data integrity, reliability, and optimal performance Collaborate with data engineers, analysts … and business teams to translate existing business logic and workflows into modular dbt models Identify, document, and refactor legacy processes for performance, maintainability, and scalability Implement CI/CD best practices for data transformation using dbt Cloud and Git-based workflows Monitor, troubleshoot, and optimize pipeline performance and ensure data integrity across data platform Contribute to defining and improving data More ❯