251 to 275 of 655 dbt Jobs in the UK

related disciplineProven enterprise data modelling experience at conceptual, logical, and physical levelsHands-on SqlDBM experience (or equivalent modern toolset)Proven experience with dbt LabsGood Python skills, API integration, automationPractical Snowflake and Databricks experience including Cortex AI and GenieWorking knowledge of OWL, RDF, SPARQL and enterprise ontology designExperience with at least ...

optimize Spark/Scala jobs for ingestion and transformation, using the existing GitHub Actions and Terraform setup for deployments Implement, run and monitor dbt tests to ensure data quality and consistent dimensional models Extend and maintain Delta Lake fact and dimension tables for analytics use cases, following a bronze/… analysis and AI coding agents into day-to-day workflows Tech stack Azure Databricks (Spark, Delta Lake) SQL Server, Confluent Kafka Scala, SQL, dbt Git, GitHub Actions, Terraform Sigma (BI) Must-have experience Commercial experience as a Data Engineer working with Spark in production (ideally on Databricks) Essential experience working ...

data into high-quality, trustworthy, and easily consumable datasets and visualisations for business users. The ideal candidate will possess a strong background in SQL, dbt, data modelling, ETL/ELT principles and experience with modern cloud data platforms. Core Responsibilities Develop and Maintain Transformation best practices in ELT Pipelines: Design … Developer). SQL Mastery: Expert-level proficiency in writing and optimising complex SQL queries. Data Transformation Tooling: Hands-on experience with dbt (Data Build Tool) or similar data transformation frameworks is essential. Data Warehousing: Experience working with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift. Data ...

users. You’ll collaborate with product and commercial teams, implement IaC with AWS/Terraform, and drive engineering excellence across data pipelines using Databricks, dbt, and Kafka. #J-18808-Ljbffr ...

Snowflake. You will build ingestion paths, manage schema changes, and contribute to production reliability. You'll work with Terraform/Terragrunt, Python (Poetry, Pydantic), dbt, and Datadog monitors. Collaboration with engineers and analytics teams is essential to deliver audit-ready, high-quality data. #J-18808-Ljbffr ...

assets and how these connect to our users’ financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including ...

Python 3, Django, PostgreSQL, and React, on AWS. Our data platform today is built around Fivetran, AWS DMS or custom pipelines for ingestion, dbt for transformation, PostgreSQL on AWS RDS as the warehouse, and n8n or AWS Lambda for automation between systems. We manage our infrastructure as code with Terraform ...

authentication or entitlement systems Experience within academic publishing, research information systems or scholarly communications Experience with modern data transformation tooling such as Dataform or dbt Experience developing classification or machine learning models for user behaviour analysis, anomaly detection or segmentation Experience measuring the impact of external platforms on traffic, engagement ...

deep understanding of data platform architecture and data modeling. Tooling: Proficiency in SQL, Python, and Databricks is essential. Experience with Snowflake, Sigma, and dbt Cloud is highly preferred. Industry Context: Previous experience in Fintech (small to midsize) or regulated industries (gaming/betting) is a significant advantage. Leadership Style: Proven ...

Dagster in production and infrastructure-as-code with Terraform or equivalent; analytical stores such as ClickHouse or DuckDB and transformation tooling such as dbt or SQLMesh; working closely with a wet lab, or with data whose quality depends partly on what happens at the bench; building data infrastructure ...

integrations). Qualifications WHAT YOU’LL BRING You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Looker. You're comfortable owning analytics from data transformation through to delivering actionable insights. You are commercially minded. Able to translate ...

scope technologies/products: Google Cloud Platform (GCP) and comparable cloud-based data engineering services dbt Python SQL ETL/ELT tooling and methodologies Data modelling and data product development AI-enabled data development Testing and validation frameworks Master Data Management (MDM), including commercial off-the-shelf and bespoke solutions ...

agentic solutions Graph modeling Personalization: propensity/uplift modeling, bandits, causal inference Libraries: scikit‐learn, XGBoost, LightGBM, CatBoost, CausalML, Keras, DoWhy Experience with dbt, Airflow, Looker or Metabase, AWS services such as S3 and Lambda Experience in designing and implementing model/metric endpoints as part of a platform ecosystem ...

time analytics and governance while promoting self-service insights for business users. Key skills include data lakehouse design (Iceberg), AWS/Azure data services, dbt, Airflow, and BI/dashboard experience. The role emphasizes automation, quality, and collaboration with architects. #J-18808-Ljbffr ...

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 SkillsStrong commercial Databricks experience. Proven data ingestion experience. Azure Data Factory. Databricks ...

know when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step ...

environment, you'll be empowered to improve, optimise and shape the way data engineering is delivered. Tech Stack Snowflake AWS Python SQL SQLMesh/dbt BigQuery Why This Role? Real ownership of an established cloud data platform Significant influence on technical direction and best practice Opportunity to work closely with ...

confidence to challenge and advise stakeholders Strong ownership and problem-solving skills A STEM degree/similar academic background. Bonus points for: Git, APIs, dbt, LookML, Cube or exposure to financial data. A background in consultancy, professional services or another highly stakeholder-facing environment would be particularly relevant. ...

confidence to challenge and advise stakeholders Strong ownership and problem-solving skills A STEM degree/similar academic background. Bonus points for: Git, APIs, dbt, LookML, Cube or exposure to financial data. A background in consultancy, professional services or another highly stakeholder-facing environment would be particularly relevant. ...

confidence to challenge and advise stakeholders Strong ownership and problem-solving skills A STEM degree/similar academic background. Bonus points for: Git, APIs, dbt, LookML, Cube or exposure to financial data. A background in consultancy, professional services or another highly stakeholder-facing environment would be particularly relevant. ...

ability to map metrics through to underlying data sources. Experience defining data quality rules, critical data elements and data governance processes. Experience working with dbt and data warehouse environments. Strong stakeholder management skills with experience working directly with business users and non-technical teams. Experience within customer analytics ...

fundamentals of product analytics including building metric trees, experimentation, user activity & retention analytics, funnels & customer segmentation. Excellent SQL skills, and strong experience using DBT for data transformations. Experience coding in Python is also relevant. Strong experience with data modelling for scale and reusability. Demonstrated experience using current LLM offering ...

supported by scanning and remediation processes. Deployment and CI/CD Design, build and maintain CI/CD pipelines (YAML-based) for Snowflake SQL, dbt models, Streamlit applications, stored procedures and supporting scripts. Own database change management (DCM), including the transition to and operation of a state-based deployment approach ...

business reporting and operational decision‐making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best … business needs into scalable, production‐grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency, and maintainability. ...

cost-effectiveness of our transformation pipeline over time. Our modern data stack You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. What we're looking for We’re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically ...