101 to 125 of 963 dbt Jobs in the UK

reconciliation, and integration verification activities. Core skills and experience: Proven experience designing scalable data architectures in cloud and hybrid environments. Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks. Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP). Understanding of security principles including role-based access control. Experience with legacy-to More ❯

top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting More ❯

we looking for? Data Modelling and Lakehouse Design: Strong data modelling, design, and integration expertise. Data Mesh Architectures: In-depth understanding of data mesh architectures. Technical Proficiency: Proficient in dbt, SQL, Python/Java, Apache Spark, Trino, Apache Airflow, and Astro. Cloud Technologies: Awareness and experience with cloud technologies, particularly AWS. Analytical Skills: Excellent problem-solving and analytical skills with More ❯

days onsite in a week) Duration: Long Term B2B Contract Job Description: The ideal candidate will have a minimum of 5+ years of experience working with Snowflake, DBT … Python, and AWS to deliver ETL/ELT pipelines using various resources. Proficiency in Snowflake data warehouse architecture. Design, build, and optimize ETL/ELT pipelines using DBT (Data Build Tool) and Snowflake. Experience with DBT (Data Build Tool) for data transformation and modeling. Implement data transformation workflows using DBT (core/cloud). Strong Python programming skills for automation … and data processing. Leverage Python to create automation scripts and optimize data processing tasks. Proficiency in SQL performance tuning and query optimization techniques using Snowflake. Troubleshoot and optimize DBT models and Snowflake performance. Knowledge of CI/CD and version control (Git) tools. Experience with orchestration tools such as Airflow. Strong analytical and problem-solving skills with the ability to More ❯

Python, and AWS tools (Redshift, Glue, S3, Lambda, etc.) Strong grasp of data modeling, governance, and pipeline orchestration Excellent communication and collaboration skills in Agile teams Desirable: Experience with dbt, Airflow, Monte Carlo, and BI tools (Power BI, Tableau, QuickSight) Knowledge of data product principles, real-time pipelines, and data enablement programs Join to shape a data-driven future and More ❯

Python, and AWS tools (Redshift, Glue, S3, Lambda, etc.) Strong grasp of data modeling, governance, and pipeline orchestration Excellent communication and collaboration skills in Agile teams Desirable: Experience with dbt, Airflow, Monte Carlo, and BI tools (Power BI, Tableau, QuickSight) Knowledge of data product principles, real-time pipelines, and data enablement programs Join to shape a data-driven future and More ❯

SQL, Python, and AWS tools (Redshift, Glue, S3, Lambda, etc.) Strong grasp of data modeling, governance, and pipeline orchestration Excellent communication and collaboration skills in Agile teams Experience with dbt, Airflow, Monte Carlo, and BI tools (Power BI, Tableau, QuickSight) Knowledge of data product principles, real-time pipelines, and data enablement programs Join to shape a data-driven future and More ❯

pipelines integrating financial, customer, CRM, ERP, and marketing data. Deliver end-to-end data modelling projects, connecting multiple sources and creating metrics/KPIs . Work primarily with SQL, dbt, and cloud data warehouses (Snowflake, BigQuery, Redshift). Technical Requirements Strong proficiency in SQL with the ability to write complex queries, optimise performance, and manipulate large datasets efficiently. This includes … as Snowflake , BigQuery , or Redshift . You should be comfortable creating robust data models, building scalable pipelines, and ensuring data quality within these cloud environments. Experience with dbt (Data Build Tool) , particularly in managing and automating data transformation. Solid understanding of Python , especially in the context of automating data processes, integrating APIs, and implementing machine learning models to enhance data More ❯

Develop and maintain data models, databases, and pipelines to support enterprise-wide data initiatives. Lead the enterprise expansion of Snowflake for cloud data warehousing and analytics. Leverage dbt (Data Build Tool) to enable efficient transformation and management of data pipelines. Support and develop data standards, policies, and best practices. Hands on Development Work directly with data engineering and software development … or similar role in a complex organization. Expertise in designing and implementing data architectures in cloud environments (e.g., Azure, AWS, or Google Cloud). Hands on experience with Snowflake, dbt, and Azure Data Services (e.g., Data Factory, Synapse, or similar). Experience with ETL/ELT tools, APIs, and integration platforms. Deep knowledge of data modelling, warehousing, and real time More ❯

you can proactively identify issues and opportunities for improvement • Experience of and ability to effectively use cloud native data science tooling • Extensive experience with Tableau and data build tool (dbt) or similar tooling Nice to Haves • Experience in using machine learning and AI tools for signal processing • Knowledge of data compliance including GDPR, HIPAA, and SOC2 policies • Experience in integrating More ❯

as a Data Engineer As a Data Engineer on the Data Platform team, you will: Design, implement, and manage scalable and efficient data pipelines using tools like Snowflake, Airflow, dbt, and Fivetran. Experience with similar technologies is also valued as we continuously evolve our stack. Collaborate with cross-functional teams to understand data requirements and deliver solutions that align with More ❯

Data Engineer - Python, SQL, DBT, DWH, Airflow, Kafka, Snowflake - Challenger Digital Bank Location: London (Hybrid, 2 days per week in office) Type: Permanent Salary: Competitive + 20% bonus + excellent benefits Are you a Data Engineer ready to shape the future of a digital-first banking experience? Join a fast-growing start-up challenger bank where data is at the … next-generation data infrastructure and enable insight-led growth from the ground up. What you will be doing: Build and optimise robust data pipelines using Python , Kafka , Airflow , and DBT Design and manage Snowflake data warehouse objects to support scalable analytics Write clean and efficient SQL to support reporting, dashboards and data products Collaborate across engineering, analytics and product teams … experience with Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding of data architecture, transformation workflows, and pipeline orchestration Clear communicator More ❯

values are Trust, Efficiency, and Drive. What will I be doing? Design, build, and maintain scalable and reliable data pipelines. Manage Zeelo's serverless centralized data architecture (Fivetran, BigQuery, dbt, and other tools) that supports analytical functions across the business. Design, build, and maintain ETL, ELT and other data pipelines for purposes to support analytics use cases. Identify improvements in … in a quantitative field. Advanced degrees are a plus. Min 3+ years data engineering experience in a commercial environment. Proficiency in SQL. Experience building SQL-based transformation flows in dbt or similar tools. Good understanding of cloud platforms such as GCP, AWS or Azure. Experience configuring orchestration of SQL and Python via Airflow or similar tools. Experience working with data More ❯

role where you'll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data models using dbt within Google Cloud Platform (GCP). Your primary goal is to empower our clients' business users by making data accessible, understandable and ready for reporting, dashboarding and ad-hoc analysis. … and business intelligence. Experience in the mobile/telecoms industry would be a bonus! Key outputs for the role• Design, build, and maintain scalable and trustworthy data models in dbt, making use of Kimball Dimensional and One Big Table (OBT) methodologies.• Translate business requirements from stakeholders into robust, well-documented and tested dbt models.• Develop and own workflows within Google … quality, optimised SQL for data transformation and analysis.• Develop and maintain scalable data pipelines within the Google Cloud Platform, ensuring efficient and cost-effective data transformations.• Take ownership of dbt project health, monitoring daily runs and proactively resolving any data, model, or scheduling issues in collaboration with other project owners.• Use version control (Git) and CI/CD to manage More ❯

that automatically updates product fit recommendations and descriptions, powered directly by manufacturing data, helping brands reduce returns and improve their bottom line. Our Current Stack: Data Warehouse and Tools: DBT, Snowflake, Airbyte Languages: Python, TypeScript, Node.js , React Cloud & Infra: AWS (S3, ECS), Docker Orchestration: AWS Lambda and Step Functions CI/CD: GitHub Actions Analytics Layer: GoodData What You’ll … Work On: Data Pipelines: Design, build, and maintain robust ETL/ELT pipelines using dbt to transform raw data into reliable, production-grade models, supporting machine learning, analytics, and product features. Data Modelling & dbt Mastery: Own the full lifecycle of data models in dbt, including: Designing scalable fact and dimension tables Managing Slowly Changing Dimensions (SCDs) using snapshots or incremental … models Building and maintaining seeds for reference data Writing thorough tests and documentation to enforce data quality and governance Architecture Ownership: Help shape our dbt folder structure, model contracts, and naming conventions to support long-term maintainability across multi-tenant data products. Automation & Efficiency: Use orchestration tools like Airbyte, AWS Step Functions, and GitHub Actions to ensure seamless deployment of More ❯

ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross-functional teams Desirable Experience APIs from major financial data providers dbt, Snowflake Kafka, Airflow Java feedhandler support Migration of legacy systems (e.g. MATLAB) This position offers a competitive compensation package and hybrid working model. More ❯

ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross-functional teams Desirable Experience APIs from major financial data providers dbt, Snowflake Kafka, Airflow Java feedhandler support Migration of legacy systems (e.g. MATLAB) This position offers a competitive compensation package and hybrid working model. More ❯

documentation of data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services. Mid-Level Data Engineer Responsibilities Build and … data pipelines. Manage and optimize cloud storage and warehousing. Ensure data quality, security, and maintainability. Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD, and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services. Senior Data Engineer Responsibilities Architect robust data infrastructure and More ❯

documentation of data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services. Mid-Level Data Engineer Responsibilities Build and … data pipelines. Manage and optimize cloud storage and warehousing. Ensure data quality, security, and maintainability. Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD, and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services. Senior Data Engineer Responsibilities Architect robust data infrastructure and More ❯

documentation of data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities … data pipelines. Manage and optimize cloud storage and warehousing. Ensure data quality, security, and maintainability. Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD, and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Senior Data Engineer Responsibilities Architect robust data More ❯

documentation of data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities … data pipelines. Manage and optimize cloud storage and warehousing. Ensure data quality, security, and maintainability. Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD, and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Senior Data Engineer Responsibilities Architect robust data More ❯

documentation of data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities … data pipelines. Manage and optimise cloud storage and warehousing. Ensure data quality, security, and maintainability. Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD, and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Senior Data Engineer Responsibilities Architect robust data More ❯

documentation of data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities … data pipelines. Manage and optimize cloud storage and warehousing. Ensure data quality, security, and maintainability. Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD, and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Senior Data Engineer Responsibilities Architect robust data More ❯

documentation of data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities … data pipelines. Manage and optimise cloud storage and warehousing. Ensure data quality, security, and maintainability. Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD, and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Senior Data Engineer Responsibilities Architect robust data More ❯

documentation of data assets. Learn from and collaborate with senior engineers. Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks, and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Mid-Level Data Engineer Responsibilities … data pipelines. Manage and optimize cloud storage and warehousing. Ensure data quality, security, and maintainability. Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD, and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required. Senior Data Engineer Responsibilities Architect robust data More ❯