1 to 25 of 108 dbt Jobs in the UK excluding London

Senior Data Engineer - AWS Leeds/Hybrid, c. 2x per week Salary - Competitve/Negotiable The Role Joining one of the best tech consultancies in the North. The Senior Data Engineer role focuses on the production of scalable and robust More ❯

data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there are some obvious required Skills … Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with other cloud platforms (e.g. More ❯

About The Role Hippo is recruiting for a Principal Data Engineer to join our Hippo Herd. Principal Data Engineers work in multi-disciplinary teams that build, support & maintain User-Centred digital solutions that offer real value and work for everyone. More ❯

About The Role Hippo is recruiting for a Principal Data Engineer to join our Hippo Herd. Principal Data Engineers work in multi-disciplinary teams that build, support & maintain User-Centred digital solutions that offer real value and work for everyone. More ❯

About The Role Hippo is recruiting for a Principal Data Engineer to join our Hippo Herd. Principal Data Engineers work in multi-disciplinary teams that build, support & maintain User-Centred digital solutions that offer real value and work for everyone. More ❯

About The Role Hippo is recruiting for a Principal Data Engineer to join our Hippo Herd. Principal Data Engineers work in multi-disciplinary teams that build, support & maintain User-Centred digital solutions that offer real value and work for everyone. More ❯

data models. Experience with Interface/API data modelling. Experience with CI/CD GITHUB Actions (or similar) Knowledge of Snowflake/SQL Knowledge of Apache Airflow Knowledge of DBT Familiarity with Atlan for data catalog and metadata management Understanding of iceberg tables Who we are: We’re a business with a global reach that empowers local teams, and we More ❯

of experience in data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least More ❯

The team you'll be working with: We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will have a strong background in the full data modeling lifecycle, including designing, implementing, and More ❯

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 ❯

data platform evolution Has experience (or strong interest) in building real-time or event-driven architectures ️ Modern Data Stack Includes: Python , SQL Snowflake , Postgres AWS (S3, ECS, Terraform) Airflow , dbt , Docker Apache Spark , Iceberg What they're looking for: Solid experience as a Senior/Lead/Principal Data Engineer, ideally with some line management or mentoring Proven ability to More ❯

love to talk to you if: You've led technical delivery of data engineering projects in a consultancy or client-facing environment You're experienced with Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know More ❯

data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex More ❯

reliable data-focused backend services. Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s), and data pipelines (SQL, dbt, Airbyte). Love automation, process improvement, and finding ways to help others work efficiently. Are comfortable working autonomously and taking responsibility for large technical projects. Are eager to learn from More ❯

reliable data-focused backend services Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker/k8s) and data pipelines (SQL, dbt, Airbyte) Love automation, process improvement and finding ways to help others work efficiently Are comfortable working autonomously and taking responsibility for the delivery of large technical projects Are eager to More ❯

Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and More ❯

Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and More ❯

There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines SQL, Azure ADF, Azure Functions, DBT Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions Optimising and cleaning of data warehouse, cleaning existing codebase and creating documentation. Monitor and troubleshoot data More ❯

and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through mentorship, feedback, and knowledge sharing. Pragmatic Problem More ❯

A BOUT THE COMPANY: OAG is a leading data platform for the global travel industry offering an industry-first single source for supply, demand, and pricing data. We empower the global travel industry with high-quality, relevant datasets covering the 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 ❯

designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit … learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯

to diverse audiences and collaborate effectively across teams. Bonus Points For: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). Experience with specific orchestration tools (e.g., Airflow, dbt). Experience working in Agile/Scrum development methodologies. Experience with Big Data Technologies & Frameworks Join Us! This role can be based in either of our amazing offices in Havant More ❯

high-quality data assets Strong architectural acumen and software engineering fundamentals Experience driving adoption of data governance and improving data platform usage across internal teams stack including: Snowflake AWS DBT Airflow Python Kinesis Terraform CI/CD tools BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary up to £107,000 Hybrid working: 2 days per week More ❯

role Desirable Experience Hands-on experience with APIs from major SaaS platforms (e.g., Office 365, Salesforce, Workday, Oracle, SAP) Familiarity with our core data stack: DuckDB, Dagster, Postgres, Kafka, DBT, EKS, and Databricks Understanding of Identity and Access Management (IAM) concepts and APIs from providers like Okta, Entra ID, Ping Exposure to AI-enhanced low-code tools like Microsoft Copilot More ❯