1 to 25 of 46 Remote dbt Jobs in England

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 ❯

lakes or Lakehouse's Excellent communication skills with the ability to explain complex technical concepts clearly and persuasively Desirable Skills for the Senior Data Engineer: Experience with event sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model 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 ❯

or willing to learn a diverse range of technologies: Programming languages - Python, R Data Processing Libraries- PySpark, Pandas, SQL, etc Data Platforms - Databricks, RStudio Engineering Tools - Github, AWS, Terraform, DBT Data Visualisation - Power BI You have experience in Marketing Effectiveness and Marketing Mix Modelling. You have experience in quantifying the impact of paid and unpaid channels on a performance KPI. 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 ❯

individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML 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 ❯

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 ❯

/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 ❯

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 ❯

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 ❯

a migration plan for legacy data into Snowflake, ensuring a smooth and efficient transition Working in a modern Dev/DataOps culture The tech stack will include: AWS, Fivetran, DBT, Snowflake, Power BI, Sifflet, Postgres SQL, SQL Server, Datavault On offer is a salary up £80,000 (depending on experience), plus benefits and a generous pension If this is you 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 ❯

in Snowflake Data Engineering and Pipeline Development Strong analytical and communication skills Hands-on experience with cloud platforms (AWS, Azure, GCP) Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or similar You'll collaborate with a team of data specialists, tackling complex datasets and driving innovation while ensuring efficient delivery of high-quality data solutions. If this More ❯

that move us towards our vision of scaling up through product led growth. This role will be focused on our backend system (Symfony, PHP) and our data products (BigQuery, DBT, Airflow), but there will be opportunities to work across the platform including, agentic AI (Python, Langchain), frontend (React, TypeScript), the APIs (GraphQL, REST), our integration tool of choice ) and all … within a production-strength SaaS platform based on best practice architectures, providing high availability (last year we had 99.97% uptime) Experience building and managing data transformations using DBT (Data Build Tool) Ability to work across our stack - experience in JavaScript, React, TypeScript would be a plus - The platform we use to build and scale our suite of integrations Experience integrating More ❯

strategy. What's important to us Well-connected - You have a strong network in the public sector , particularly in one or more of the central government departments D SIT , DBT, Defra, MoD, and MoJ . You actively expand and nurture your network to uncover early opportunities and convert them into business impact for our clients and Zühlke . Industry-savvy More ❯

tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Experience with dbt or similar data modelling frameworks. Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech More ❯