401 to 425 of 551 dbt Jobs in England

excited to work in a product-focused, consumer-facing environment, and who brings: Strong SQL Python/R experience preferrable Experience with dbt and modern data stacks a bonus A proven ability to turn data into actionable insights and communicate them clearly to stakeholders Experience in a B2C or consumer ...

capabilities. In addition to design and delivery responsibilities, you will provide technical support and contribute to the ongoing evolution of our BigQuery, Airbyte, Prefect, dbt, AI, and analytics platforms. In this role you will: Support daily platform operations across BigQuery, Airbyte, Prefect, dbt, and related analytics systems. Contribute to program … based data platforms (GCP preferred). Strong SQL and Python engineering skills. Experience building and operating ELT/ETL solutions using tools such as dbt, Airbyte, Prefect, or equivalent. AI‐assisted coding and automation (Claude Code preferred) Experience with monitoring tools and ITSM platforms (ServiceNow or similar). Experience contributing ...

services across AWS, PySpark, Snowflake and SQL-based transformation frameworks Developing and maintaining modular, testable and high-quality data models and transformation pipelines using DBT or equivalent structured SQL frameworks Improving pipeline robustness through automation, monitoring, validation, dependency management and engineering best practices to reduce manual intervention and production failures … Snowflake & CI/CD & DevOps Performance optimisation and large-scale data processing Data modelling (RDV/BDV or similar patterns preferred) Query performance tuning DBT (or equivalent SQL transformation framework) Development of modular, testable data models Experience working in structured transformation frameworks (e.g. dbt, Grid-style approaches) Hands-on experience ...

business stakeholders to build scalable, reliable and well-governed data products that drive decision-making and customer value. The core data stack includes Snowflake, dbt, AWS and Tableau , and they are investing heavily in creating trusted, observable and AI-ready data capabilities. Key Responsibilities Build and enhance data pipelines, models … platform and business transformation initiatives Skills & Experience Strong Data Engineering experience with advanced SQL and data modelling skills Hands-on experience with Snowflake Strong dbt (or equivalent modern data transformation tooling) experience Proven cloud data engineering experience, AWS is essential Experience building production-grade data pipelines and data products Strong ...

About the role We are looking for a Lead Data Engineer to take ownership of a business domain within our modern Snowflake, Airflow, and dbt data platform. This role will combine hands-on technical leadership with team coordination, helping ensure stable platform operations, strong data quality, and efficient delivery … data-related roles, with the majority in data engineering. Strong hands-on experience with Snowflake, ideally 3+ years. Strong hands-on experience with dbt, ideally 3+ years. Experience leading small data engineering teams, ideally 2–3 engineers. Experience designing, building, and maintaining data processing systems at scale. Experience with Azure ...

fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across … PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management & metadata: Purview AI: Foundry, (including Agent Service), ML Data Product mentality : You build Data Products where every pipeline and dataset is discoverable, addressable ...

with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying … with Pandas or NumPy, scikit-learn, and model evaluation or tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying ...

team Hands‐on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands‐on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong … data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams and business partners ...

contribute wherever your expertise can have the greatest impact. Our application data lives primarily in CockroachDB, with a modern data platform built around BigQuery, dbt, Airflow and pub/sub. Data flows both ways: into analytics and modelling, and back into the products our customers use. That culture translates into … working beyond a narrowly defined specialism when that is what the problem requires. Experience that will set you apart Experience with BigQuery, Airflow and dbt, or equivalent modern data technologies. Experience with CockroachDB, Postgres or other distributed/relational databases, including CDC or event-driven data pipelines. Knowledge of data ...

Kubernetes, Docker, Spark and related monitoring tools (e.g. DataDog, Grafana, Prometheus) for DataOps a huge plus; Experience with Airflow a huge plus; Experience with dbt for pipeline modelling also beneficial; Skilled at shaping needs into a solid set of requirements and designing scalable solutions to meet them; Able to quickly … more effective platform; Desirable: energy domain knowledge Our core data stack Python as our main programming language Databricks Spark for data processing Databricks/dbt/SQL for data modelling and analytics Streamlit for data applications and visualisations Airflow for job scheduling and tracking CircleCI for continuous deployment Parquet ...

Senior Data Engineer - Databricks | Hybrid London | £550/day Outside IR35 | 12 Months A well-established transport/travel sector business is expanding its Data & Middleware function as part of a major analytics transformation, and ...

Responsibilities - What you will be doing? Managing the development and maintenance of ETL pipelines and data models using tools like SQL, dbt, and Airflow. Creating & maintaining interactive dashboards and leading user engagement of them with both our largest clients and internal users in Power BI & Tableau. Transforming, analysing & optimising large … Redshift/S3 and SQL Server. You have several years of strong experience with ETL/ELT processes and APIs with tools such as dbt, Airflow, and Talend. You are proficient in using BI visualisation tools, in particular Power BI, Tableau & Metabase. You have good knowledge of data modelling & transformation ...

operationalisation. How You’ll Make An Impact Design and implement high‐performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self‐serve analytics Work closely with data analysts … software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/ ...

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 … change management tooling and state-based deployment approaches. • Strong working knowledge of Snowflake administration, RBAC, masking policies and cost/performance optimisation. • Experience with dbt and SQL in a modern cloud data warehouse environment. • Experience with infrastructure-as-code, scripting (for example PowerShell, Bash or Python) and monitoring/alerting ...

team. What you’ll do Develop high quality data models that transform raw data into clean, analytics-ready datasets using tools like SQL, python, dbt, BigQuery and Prefect. Work closely with the Data Product Owner and our product stakeholders to understand data requirements and translate business and analytical needs into … BigQuery. Familiarity with the Software Development lifecycle, data quality frameworks, system observability, and experience with source control tools like GitHub. Hands on experience with dbt or similar transformation tools. Strong data modelling principles, including star schema, and best practices for building scalable data assets that can be used ...

technical leader for analytics engineering, promoting best practices in data modelling, testing, documentation, and governance. Design and implement scalable, reusable data models using dbt and Snowflake. Lead architectural decisions, balancing performance, cost, scalability, and usability. Contribute to the evolution of analytics engineering standards, tooling, and data platform capabilities. Make … within the data ecosystem. Experience with DataDog, Dagster, Fivetran, or Tableau would be beneficial but is not essential. Our Tech Environment: Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Dagster, DataDog, Tableau. Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway. Collaboration Tools: GitHub, Jira, Confluence. Analytics Tools ...

scale. The Programme You’ll be joining a data modernisation initiative - Replatforming a legacy data and reporting estate onto a modern cloud stack (Snowflake, dbt, Fivetran, Azure), retiring legacy MSSQL warehouses, and delivering across multiple international markets. Fast-paced, high-visibility, and high-impact. The Role Working as part … build of pipelines and data products that power analytics and reporting across the business. You’ll be: Building and maintaining pipelines in Snowflake, dbt and Fivetran, ingesting from SaaS source systems including Workday, Oracle Symphony and NetSuite Writing clean, well-tested SQL, Python and dbt code Building dbt tests ...

build trusted data products powering decisions for a scale-up with a trans-continental expansion. The role emphasizes building the golden layer with dbt, Python, and BigQuery, while ensuring observability, reliability, and cost controls. You will mentor growing teams and collaborate across Product, Engineering and Brand. #J-18808-Ljbffr ...

compliance and risk through data, building robust pipelines and driving insights to support Wise's secure and compliant framework. You will work with Python, DBT, Airflow and REST APIs to create scalable data solutions, collaborate across security domains, and define KPIs for continuous monitoring and improved efficiency. #J-18808-Ljbffr ...

Data Scientists to migrate and validate PySpark-based use cases during the September–December window. Ideal candidates will bring Snowflake expertise, PySpark experience, and DBT knowledge. #J-18808-Ljbffr ...

Senior/Lead Analytics Engineer to raise the modelling maturity across domains. You will own and deliver complex modelling challenges, shape best practices for dbt and governance, and mentor teams while partnering with product and domain owners to ensure scalable data products. You will drive the data mesh alignment, optimise ...

Programme Manager 6 Month Contract initially + Extensions £800 - £850 per day via Umbrella London - 3 days a week onsite A leading Asset Management Firm is searching for a Programme Manager to join them on ...

move faster. You will be responsible for the end-to-end lifecycle of a data product: from identifying a business need to building the dbt models and ensuring that transformed data is accessible where it’s needed most. Key Responsibilities Ownership of the Modern Data Stack (dbt & BigQuery … lead developer for our dbt project. Build performant, modular, and well-tested models that turn data into a reliable “Source of Truth.” Apply software engineering rigor to the data stack: version control (Git), documentation, unit testing, and CI/CD. Partner with business leads across the company to identify manual ...

maintain reliable batch data ingestion pipelines from a wide range of internal and external data sources Design, implement, and extend transformation workflows using SQL, dbt, and Python Develop clean, consistent, and well‐documented data models to support investment, risk, accounting, and reporting use cases Implement data quality, validation, reconciliation, monitoring … accuracy, and strong business context Take full ownership of deliverables across the full lifecycle: design, build, test, deploy, and maintain Tech Stack SQL Server, dbt, Python, Docker, Power BI, private cloud infrastructure (public cloud experience beneficial) Required Skills & Experience 4+ years’ experience in a data engineering, software engineering, or similar ...

data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise environment. Key Responsibilities Define end-to-end data architecture across ingestion, storage, transformation, and consumption layers. Design and govern … data models and data products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access ...