1 to 25 of 38 Remote dbt Jobs in the UK excluding London

or changes. Build abstractions that make it easy to plug in new service behaviour or data models. Ensure emulators work seamlessly with orchestration and infrastructure-as-code tools (e.g., dbt, Terraform, Airflow, CDKs). Gather and act on feedback from internal and external teams to prioritize high-impact integrations. Build usage analytics and telemetry to understand adoption patterns and developer More ❯

data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up to £60,000 per annum + benefits Hybrid working (3 in office) Opportunity to lead and mentor More ❯

policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data replication technology such as Fivetran More ❯

systems. Good understanding of security, compliance, and agile delivery practices. Passionate about learning new technologies and collaborating with teams, including mentoring junior engineers. Nice-to-have experience with Snowflake, DBT, Terraform, and Azure DevOps CI/CD pipelines. We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one More ❯

overall data strategy. The ideal person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . Most importantly, you'll understand More ❯

overall data strategy. The ideal person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . Most importantly, you'll understand More ❯

business deliverables.* Collect, transform, and process datasets from various internal and external sources, ensuring data quality, governance, and integrity.* Implement efficient data models and schemas within Snowflake, and use DBT for transformation, orchestration, and workflow management.* Optimise ELT/ETL processes for improved performance, cost efficiency, and scalability.* Troubleshoot and resolve data pipeline issues swiftly and effectively across the data More ❯

and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how you More ❯

specialists to deliver efficient, high-quality solutions. Critical Skills Extensive experience with Databricks (including Spark, Delta Lake, and MLflow). Proficiency in ETL/ELT development and orchestration tools (DBT, Airflow, or similar). Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong knowledge of SQL, Python, and PySpark for data processing. Familiarity with CI/CD More ❯

foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data systems. ** Shape the architecture More ❯

giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: GCP | Python | SQL | MongoDB | Airflow | dbt | Terraform | Docker | ETL | AI | Machine Learning More ❯

/Fabric Semantic Models Ability to work with/alongside stakeholders with their own operational pressures Able to follow best practices and adapt, even without established iteration management Desirable DBT Previous experience of working with D365 data API Integration (OData ideally) Basic accounting knowledge Snowflake This assignment is signed off and approved with the hope of getting someone started ASAP More ❯

reliable, accessible, and actionable. This role is 'remote first' and falls OUTSIDE IR35. Key Responsibilities Data Pipeline Development: Design, build, and maintain robust, scalable, and efficient data pipelines using DBT, SQL, Python, and ETL frameworks. Data Modelling: Develop and maintain logical and physical data models to support reporting and analysis needs, implementing best practices for data warehouse design. Data Transformation More ❯

tracking code. Implement TMS (Tealium IQ, Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business requirements More ❯

the ongoing evolution of the platform, including real-time and streaming capabilities. YOUR SKILLS AND EXPERIENCE: You'll need: Strong experience with SQL and Python Hands-on experience with dbt or similar transformation frameworks. Familiarity with Git , CI/CD , and automated testing for data quality. Excellent collaboration and communication skills with both technical and non-technical stakeholders. A proactive More ❯

that influence business performance. Ability to operate effectively in a fast-paced, scaling organisation. Excellent communication skills and a collaborative approach. Desirable Skills Experience with analytics engineering tools (e.g., dbt, Airflow). Familiarity with experimentation frameworks and A/B testing platforms. Exposure to cloud-based data environments (e.g., Google Cloud Platform). Experience within digital consumer businesses or online More ❯

LTV, retention, and experimentation. Experience with a data visualisation or BI tool (they use Mode, but open to others). Familiarity with tools such as Amplitude, Python, R, or dbt a plus but not essential. Confident communicator able to translate data into stories and influence stakeholders. A proactive self-starter who thrives in a fast-paced, scaling environment. WHY APPLY More ❯

to generative AI platforms or a passion for building AI-powered solutions Ability to lead client delivery in dynamic, fast-paced environments Familiarity with tools like Airflow, Databricks or DBT is a plus What's on offer: Salary up to £75,000 Bonus and equity options Hybrid working: 3 days in a vibrant central London office, 2 days remote This More ❯

as part of a team on: Cleaning and processing large datasets Data migration projects from legacy systems System integrations and data pipelines ETL processes (experience with tools like Snowflake, dbt, or similar modern data stack components is highly valued) Track record of delivering data solutions in a collaborative environment The same driving passion: eagerness to innovate, create something special, and More ❯

/retention analysis. Background in subscription-based, marketplace or tech-driven environments. Confident communicator and self-starter, able to influence non-technical stakeholders. Experience with tools like Mode, Amplitude, DBT, Python or R is beneficial (not essential). Why Apply? Equity with upcoming exit - real potential for payout in 1-2 years. Fully remote with a collaborative, friendly, pet-loving More ❯

of stats and statistical modelling Data visualisation and storytelling ability Ability to self organise and manage stakeholders Demonstration of impact/going above and beyond basic role requirements Desirable DBT Data modelling in a warehouse context Understanding of testing and experimental design Legally authorised to work in the UK Some important stuff we would like you to know To meet More ❯

through training and mentoring Skills Needed Strong SQL experience Hands on experience with Looker and LookML Experience with GCP or BigQuery Solid understanding of data modelling and data architecture dbt experience is a bonus Strong communication skills and confidence working autonomously Benefits Competitive salary plus benefits Hybrid working Enhanced leave allowance Healthcare and wellness perks More ❯

and GCP/BigQuery skills Confident in data modelling, architecture, and governance Able to work independently and challenge stakeholder requirements thoughtfully Excellent communicator with a collaborative mindset Experience with dbt (nice to have, not essential) The client is looking to move quickly, if interested please apply. To follow up on your application please email or message me on LinkedIn. More ❯

Cloud Data & Full Stack Engineer - SC Cloud, Data Location: UK Wide Salary: £72,000 - £100,000 (depending on experience) + attractive benefitsFlexibility: Happy to consider candidates who can commute into London from other UK locationsSecurity: Essential that you can undergo More ❯

DBT Cloud Data Engineer (Snowflake, Azure) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced DBT Data Engineer to join a major insurance client engagement . The role focuses on scaling a Snowflake Data Warehouse and expanding its DBT Cloud modelling capabilities to support new analytics … with employer's NI & Tax deducted at source, unlike umbrella companies and no umbrella company admin fees) You'll be part of a growing data engineering function focused on DBT model development , Snowflake optimisation , and data governance across multiple data domains. This role suits a technically strong engineer with proven DBT Cloud experience who can take ownership of data pipelines … and drive best practices in transformation, testing, and automation. Key Skills & Experience Deep DBT Cloud expertise, including models, macros, tests, documentation, and CI/CD integration. Hands-on experience developing and optimising in Snowflake Cloud Data Warehouse (schemas, warehouses, security, time travel, performance tuning). Familiarity with Snowflake cost monitoring, governance, replication , and environment management. Strong understanding of data modelling More ❯