1 to 25 of 58 Permanent dbt Jobs in London

security, and regulatory compliance . Ability to work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy ...

security, and regulatory compliance . Ability to work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy ...

foundations in data modelling Python preferred, or similar, for automation and pipeline development Cloud exposure across AWS, Azure, or GCP Familiarity with tools like dbt, Airflow, or equivalents Good habits around governance, security, documentation, Git, and CI/CD You’ll thrive if you’re Curious, motivated, and pragmatic ...

stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data governance, validation ...

experience in data engineering, including time in a lead role Strong Python and SQL skills Experience with orchestration tools (Airflow, Dagster, Prefect) Hands-on dbt , AWS, and modern data warehouses Strong data modelling and architectural capability Background scaling data platforms in high-growth environments Nice to have Snowflake or Apache ...

/Scala/C++ a plus) Experience with orchestration and workflow tools (Airflow, Cloud Composer, Dagster, etc.) Familiarity with modern data stack components (BigQuery, dbt, Kafka/PubSub, Spark, etc.) Knowledge of data security, access control, and best practices for handling sensitive data Experience collaborating across engineering, analytics, and product ...

Data Engineer in a consultancy or complex delivery environment Deep, hands-on expertise with Snowflake Experience with the modern data stack, including dbt, Airflow (or similar) and Python Solid experience with AWS and/or Azure Strong SQL skills and performance optimisation experience Familiarity with CI/CD, DevOps ...

Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment. ...

communication skills, with fluency in written and spoken English. Desirable: Experience with WordPress/PHP or Streamlit for rapid web applications. Familiarity with dbt , Power BI , or similar data analytics tools. Understanding of machine learning , AI integration , and vector databases . Interest in UI design or Agile project delivery. Additional ...

Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills Proven experience optimising complex queries Strong understanding of Data Governance, including ...

knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Knowledge of ETL/ELT processes (such as DBT), SQL, NoSQL databases is added advantage. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts ...

Airflow , alongside experience with major data platforms such as Snowflake, Databricks, and BigQuery . 🚀Familiarity with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with one or more major cloud environments— Azure, GCP, or AWS —is also expected. In return for your ...

similar role. Strong SQL and data modeling skills. Hands-on experience with cloud data warehouses (Snowflake, BigQuery, Databricks). Proficiency with ELT tools (dbt, Fivetran, Matillion) and orchestration frameworks (Airflow, Prefect). ...

similar role. Strong SQL and data modeling skills. Hands-on experience with cloud data warehouses (Snowflake, BigQuery, Databricks). Proficiency with ELT tools (dbt, Fivetran, Matillion) and orchestration frameworks (Airflow, Prefect). ...

Supporting the design of scalable, secure data architectures on cloud platforms (AWS, Azure, or GCP) Working with modern data technologies such as Snowflake, Databricks, dbt, and ETL/ELT tooling Helping define data models, ingestion patterns, and governance approaches Collaborating with engineers, analysts, and client stakeholders to deliver production-ready ...

with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar) Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt Familiarity with recommender systems, transformers, or graph neural networks Exposure to model optimisation techniques (quantisation, distillation, efficient inference) What We Offer Opportunity to build technology ...

data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing at exec level. ...

Data Products and Data as a Product. Ability to influence stakeholders and collaborate with IT architects. Familiarity with data engineering tooling such as Snowflake, DBT, Airflow and Fivetran. The wider technology stack is: Cloud based Big Data Platform - Snowflake Databases - SQL Server, Oracle, NoSQL Data Integration tools (MuleSoft, Fivetran, SSIS ...

Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/CD, GitHub, Control-M, dbt/Databricks. This is an opportunity to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. ...

Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/CD, GitHub, Control-M, dbt/Databricks. This is an opportunity to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. ...

path to production Worked with AWS as a cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala ...

environment where priorities evolve and things aren’t always fully specified Nice to Have (Not Essential) Experience with modern data platforms (e.g. Databricks, Snowflake, dbt, Airflow, Foundry) Some exposure to backend development or API design TypeScript experience Familiarity with enterprise systems (ERP, CRM, etc.) Exposure to AI-enabled systems , generative ...

development experience. Experience building lakehouse architectures using Delta Lake. Strong cloud experience in Azure (preferred), AWS, or GCP. Experience with orchestration tools (ADF, Airflow, dbt, or similar). Certifications – Databricks Certified Data Engineer/Azure Data Engineer What’s in it for you: Fully remote role with flexible working ...

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 ...

strategy for the data function, owning the design, scalability, and long-term evolution of the data platform built on technologies such as Python, Dagster, dbt, Fivetran, Apache Iceberg, Snowflake, S3, Glue, ECS, Docker, and Omni. You'll work end-to-end across the data lifecycle, from ingestion and modelling through ...