1 to 25 of 44 Remote dbt Jobs in the UK excluding London

deliver value-focused data solutions We'd love to talk to you if: You've got solid experience working with Python, SQL, Spar and data pipeline tools such as dbt or Airflow You're comfortable working across cloud platforms - especially AWS (Glue, Lambda, Athena), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery, Cloud Composer) You have a good understanding of More ❯

practices around CI/CD, infrastructure-as-code, and modern data tooling Introduce and advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ years in Data Engineering More ❯

time and analytical data pipelines, metadata, and cataloguing (e.g., Atlan) Strong communication, stakeholder management, and documentation skills Preferred (but not essential): AWS or Snowflake certifications Knowledge of Apache Airflow, DBT, GitHub Actions Experience with Iceberg tables and data product thinking Why Apply? Work on high-impact, high-scale client projects Join a technically elite team with a strong culture of More ❯

office once a week . Requirements: Proven experience as an Analytics Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and More ❯

Key Responsibilities: Design and maintain scalable data pipelines across diverse sources including CMS, analytics, ad tech, and social platforms. Lead engineering efforts to automate workflows using tools like Airflow, dbt, and Spark. Build robust data models to support dashboards, A/B testing, and revenue analytics. Collaborate with cross-functional teams to deliver actionable insights and support strategic initiatives. Drive More ❯

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

data solutions Proficiency in Python, SQL, and data modelling tools (e.g. Erwin, Lucidchart) Strong knowledge of AWS services (Lambda, SNS, S3, EKS, API Gateway) Familiarity with Snowflake, Spark, Airflow, DBT, and data governance frameworks Preferred: Certifications in cloud/data technologies Experience with API/interface modelling and CI/CD (e.g. GitHub Actions) Knowledge of Atlan and iceberg tables More ❯

for a Data Engineer to join their London-based team. Key Responsibilities: Design and maintain scalable data pipelines across diverse sources. Automate and optimise workflows using tools like Airflow, dbt, and Spark. Support data modelling for analytics, dashboards, and A/B testing. Collaborate with cross-functional teams to deliver data-driven insights. Work with cloud platforms (GCP preferred) and More ❯

day a week in a central London office High-growth scale-up with a strong mission and serious funding Modern tech stack: Python, SQL, Snowflake, Apache Iceberg, AWS, Airflow, dbt, Spark Work cross-functionally with engineering, product, analytics, and data science leaders What You'll Be Doing Lead, mentor, and grow a high-impact team of data engineers Define and More ❯

warehousing Snowflake Python, SQL JSON, XML MySQL MSSQL Server AWS Glue Understanding of testing strategies Understanding of Agile methodologies. Desirable Experience of ELT tools like Fivetran/Kleene/DBT Experience using source code management tools (ideally git) PHP Experience with Salesforce Data Models Experience in the travel industry What's in it for you? We believe in taking care More ❯

and secure use of machine learning. Key Focus Areas Own and execute enterprise data strategy Build and lead a multi-disciplinary data & AI team Drive modern data platform development (dbt, Airflow, Snowflake, Looker/Power BI) Deliver business-critical analytics and reporting Support responsible AI/ML initiatives Define data governance, privacy, and compliance frameworks What We're Looking For More ❯

customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus Soft Skills: Business-oriented thinker with strong communication skills Able to clearly explain complex models to non-technical audiences Skilled in stakeholder engagement and translating analytics into More ❯

Azure ecosystem. Required Experience: • Creating mapping specifications between legacy and CRM, ERP, Finance applications • Integration to D365, Dataverse solutions or other SaaS applications • Data Quality Frameworks: Soda.io, Great Expectations, DBT • Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets • Extracting data from a variety of sources including More ❯

Azure ecosystem. Required Experience: Creating mapping specifications between legacy and CRM, ERP, Finance applications Integration to D365, Dataverse solutions or other SaaS applications Data Quality Frameworks: Soda.io, Great Expectations, DBT Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets Extracting data from a variety of sources including More ❯

your knowledge. A key part of your role will be setting up monitoring and alerting across the platform. Experience Required: Hands-on with Data Platform tools: Snowflake (Must Have), dbt, Airflow, and Fivetran Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting Access management using Azure Active Directory (Entra ID) Proven experience setting up monitoring More ❯

your knowledge. A key part of your role will be setting up monitoring and alerting across the platform. Experience Required: Hands-on with Data Platform tools: Snowflake (Must Have), dbt, Airflow, and Fivetran Experience implementing DataOps best practices: CI/CD, modular pipelines, automated testing, code promoting Access management using Azure Active Directory (Entra ID) Proven experience setting up monitoring More ❯

the business goals, including peer reviews Strong experience with SQL Experience with Python Strong experience with Looker or a Similar Business Intelligence (BI) Tool Good understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to translate raw data into a structured format, or a willingness to learn Self-starter with the ability to think outside More ❯

the business goals, including peer reviews Strong experience with SQL Experience with Python Strong experience with Looker or a Similar Business Intelligence (BI) Tool Good understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to translate raw data into a structured format, or a willingness to learn Self-starter with the ability to think outside More ❯

large datasets Strong communication skills-comfortable translating data to action Proven impact on product development through analytics and experimentation Experience with BI tools like Tableau or Looker Knowledge of dbt or data modelling a plus BENEFITS £65,000-95,000 base salary Generous stock options scheme 30 days holiday + bank holidays + office closure over Xmas Private medical & dental More ❯

trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of More ❯

trends What You’ll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of More ❯

Extensive experience delivering commercial value through data science Deep expertise in predictive modelling, optimisation and personalisation Mastery of Python/R, SQL and modern ML tools (ML Ops, Docker, DBT) A passion for storytelling with data and influencing strategic decisions A collaborative mindset and a drive to lead innovation We take our inspiration from pets in embracing people from all More ❯

Extensive experience delivering commercial value through data science Deep expertise in predictive modelling, optimisation and personalisation Mastery of Python/R, SQL and modern ML tools (ML Ops, Docker, DBT) A passion for storytelling with data and influencing strategic decisions A collaborative mindset and a drive to lead innovation We take our inspiration from pets in embracing people from all More ❯