1 to 25 of 30 Remote/Hybrid dbt Jobs in London

data modelling principles Excellent problem-solving skills with a delivery-focused mindset Comfortable working within cross-functional engineering teams Nice to Have Experience with dbt Exposure to streaming technologies such as Kafka Experience within a high-growth SaaS or technology business Familiarity with Infrastructure as Code (Terraform) Experience supporting machine ...

engineering improvements that outlast individual projectsHas knowledge of GDPR and data security best practicesUnderstands data storage, data modelling principles, best practices and tools (e.g. dbt)Communicates with clarity and confidence, able to lead design discussions, articulate technical trade-offs to non-technical stakeholders, and build alignment across teamsIs curious, self ...

improve data engineering processes. About You You'll have: 2–4 years' experience in Data Engineering . Strong skills in Python, SQL and DBT . Hands-on experience with AWS and/or Databricks . Knowledge of AWS services including S3, Lambda, Glue, RDS and DynamoDB . Experience with Terraform ...

performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience with Kubeflow , Airflow , or dbt . Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with data warehouse technologies ...

About You You'll bring: Extensive experience in Data Engineering and modern cloud data platforms (AWS preferred). Strong SQL expertise and experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience ...

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 ...

Title : Cloud Data Engineer About the Job you are considering: We are seeking an experienced Cloud Data Engineer with expertise in AWS, Snowflake, dbt, PySpark, and SQL to design, build, and maintain scalable cloud-based data platforms and analytics solutions. The ideal candidate should have strong experience in cloud data … scalable data pipelines using AWS cloud services. Build and manage ETL/ELT workflows for data ingestion, transformation, validation, and reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize Snowflake data warehouse solutions. Integrate data ...

ingestion strategies including incremental and batch loads. Develop ETL/ELT processes using Databricks Medallion Architecture. Write and maintain Python data engineering code. Use dbt for data transformation and modelling. Ensure pipelines are scalable, reliable and maintainable. Key Skills Strong commercial Databricks experience. Proven data ingestion experience. Azure Data Factory. ...

your main location will be covered. Please note, following a recent change to the Machinery of Government, the Department for Business and Trade ( DBT) will be renamed to the Department for Business, Innovation, Science and Trade (BIST) as of 20th July 2026. BIST will connect the UK's world-class ...

most impactful opportunities NICE TO HAVE BUT NOT ESSENTIAL Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker. Practically used + applied AI/machine learning techniques and built predictive models to get deeper insights Knowledge of the FinTech ecosystem Additional Information What ...

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 ...

Experience influencing product strategy through data-driven recommendations A proactive and curious approach, with the ability to identify opportunities independently Exposure to Python, R, dbt, or AI-enabled analytics workflows would be advantageous What They Offer Fully remote working across the UK Private healthcare and wellbeing support Home office allowance ...

delivery of data and analytics programmes, ensuring alignment with business goals, timelines, and quality standards. Planning, tracking, and managing complex technical dependencies across Snowflake, dbt, Airflow, and GitHub‐based development workflows. Collaborating closely with data engineering and analytics teams to support Snowflake architecture, performance optimisation, and cost management. Overseeing dbt … skills/knowledge/experience: Proven experience in a Technical Program Manager, Technical Project Manager, or similar role. Strong hands‐on understanding of Snowflake, dbt, GitHub, and Airflow in a production environment. Demonstrable experience delivering data engineering or analytics platform programmes. Solid understanding of modern data stacks, ETL pipelines ...

cohort analysis, metrics decomposition, experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable ...

problems Experience operating at Senior level Experience in subscription, SaaS, marketplace, growth, retention, churn or LTV analytics would be highly relevant. Python, R or dbt experience would be a bonus. Why join? £65k-£70k salary Fully remote, with no mandated office days Fully expensed quarterly company offsites Occasional in-person ...

experimentation, including A/B testing, hypothesis design, and statistical analysis Advanced SQL skills with experience working across the full analytics lifecycle Experience with dbt and modern BI tools such as Looker, Lightdash, or similar Strong understanding of product metrics, customer behaviour, engagement, and retention analysis Excellent stakeholder management skills ...

engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.About UsFivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.Together, we’re delivering … context teams and AI systems rely on.Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics ...

shared platform capabilities for data ingestion, transformation, orchestration, and processing across batch and real-time workloads. Own the integration strategy across tools such as dbt, Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics … excellence, and supporting others Hands on experience transitioning to an AI-native Data Engineering landscape A strong Python and SQL engineer with experience using dbt, Spark and Terraform Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data ...

building and maintaining scalable data pipelines and integrations. Developing robust ETL and data transformation processes to support analytics and reporting requirements. Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions. Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible … data platforms, ideally within AWS. Data modelling, transformation and orchestration methodologies. Delivering high-quality, well-documented and thoroughly tested data solutions. Experience with Snowflake, DBT and Apache Airflow. Interest in AI and emerging technologies within the data engineering landscape. THE BENEFITS: You will receive a salary ...

team focuses on business outcomes, not just technical outputs. Skills/Experience: Experience leading modern data engineering teams. Strong technical knowledge of Snowflake, dbt and cloud data platforms. Proven track record of delivering data solutions that create measurable business value, with a focus on outcomes rather than technical activity. Experience ...

business. Key Responsibilities: Design and enhance a Snowflake-based Data Lakehouse environment. Develop scalable data models and enterprise data warehouse solutions. Build and optimise dbt pipelines using best practice frameworks. Deliver business-critical reporting and dashboards through Power BI. Drive performance optimisation, governance, and data quality initiatives. Work directly with … Warehouse or Lakehouse solutions on Snowflake. Advanced SQL and data modelling expertise, including dimensional modelling and star/snowflake schemas. Strong commercial experience with dbt Extensive Power BI experience Strong Snowflake optimisation experience, including warehouse sizing, clustering, query profiling, and cost management. Excellent stakeholder engagement and communication skills. ...

Power BI Developer 6-Month contract - Inside IR35 - market rate London based - hybrid working - 3 days a week onsite Banking sector Role: To design, develop and support enterprise-scale Power BI semantic models, dashboards and ...

mentoring delivery teams in a technical capacity Design and build scalable, cloud-native data pipelines and integration workflows Apply strong hands-on expertise with dbt across transformation and modelling work What You'll Bring experience in data engineering, with demonstrable architecture and technical leadership experience Direct, hands-on expertise with … dbt Deep proficiency across the Microsoft data stack, including: Microsoft Fabric Power BI Azure Synapse Azure Data Factory Working knowledge of Databricks Working knowledge of AWS environments (Redshift, RDS) Solid grounding in database technologies, API architecture, data warehousing principles, and standard ETL/ELT patterns UK-based with full right ...

Azure • Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills • Vector databases and embedding pipelines • Real-time streaming (Kafka, Flink) • RPA tooling (UiPath, Power Automate) dbt for data transformation • Claude Code, Claude Cowork, or Claude Skills • Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate … Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. • Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). • Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). • Experience connecting disparate business systems — SaaS platforms, internal ...

Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate … Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems SaaS platforms, internal ...