1 to 25 of 128 dbt Jobs in London

enterprise data estate, leveraging modern data platforms such as Databricks , Snowflake , Azure Synapse , and BigQuery . Oversee data engineering using Apache Airflow , dbt , and Prefect , ensuring data pipelines are performant, governed, and aligned with enterprise metadata standards ( Collibra , Alation , Microsoft Purview ). Drive the adoption of Delta Lake , Iceberg ...

teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling (dimensional, entity-relationship, event-driven) Understanding of marketing data ...

from requirements through support. \n Job responsibilities \n \n Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt \nBuild and operate batch and streaming data pipelines with strong scalability, performance, and fault toleranceDevelop and manage workflow orchestration using tools such as Apache Airflow ...

years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building ...

However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as: Proficient SQL; familiarity with PySpark is beneficial dbt Microsoft Fabric SQLMesh 5. Core Engineering Skills Strong Python, with good documentation and unit testing practices Comfortable in an agile delivery environment Able to communicate ...

databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance ...

Power Query, Tableau, Looker/LookML, Qlik or equivalent) Solid grasp of dimensional modelling, semantic layers and reporting layer design Familiarity with ELT tools (dbt, ADF, Fivetran, Matillion or similar) Comfortable with Git-based workflows and BI deployment pipelines Working knowledge of Python or R for data preparation and automation ...

Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low-code solutions like DBT is highly desirable Data storytelling and able to condense complex analytics into clear narratives and actions for a range of technical and non-technical stakeholders ...

looking for: \n \n 3+ years of analytics or data engineering experience \n Experience modeling and transforming data using tooling such as dbt Experience with cloud data warehouses such as Snowflake or Databricks Experience in building ML features Any experience in real time streaming tools and frameworks, e.g. Apache Flink ...

Python and SQL skills, with experience building production-grade data pipelines • Data Platform Experience: Hands-on experience with modern data tools (e.g. Snowflake, Airflow, dbt) and cloud environments (preferably AWS) • Engineering Best Practice: Knowledge of CI/CD, testing, version control and infrastructure as code • Data Quality & Governance: Understanding ...

experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading or mentoring engineers Strong communication and stakeholder engagement ...

experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading or mentoring engineers Strong communication and stakeholder engagement ...

refinement, sprint planning, and UAT support. Experience with cloud‐based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and reporting solutions. Familiarity with modern analytics engineering ...

platforms including: Google BigQuery Snowflake Microsoft Fabric Experience designing scalable, enterprise-grade data architectures. Strong understanding of modern data engineering tooling and practices, including dbt and cloud-native services. Technical Mindset Highly hands-on and technically credible. Comfortable diving into existing pipelines, transformations, and codebases rather than operating solely ...

data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs.Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines.A tech-agnostic mindset, open to selecting the right tool for each problem — whether ...

data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs.Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines.A tech-agnostic mindset, open to selecting the right tool for each problem — whether ...

experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of Python, SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar ...

schema management principles. Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs. Hands-on experience using Airflow, dbt or similar orchestration and transformation tools. Experience working with large, complex and varied datasets. Not the Right Fit If Your background is heavily focused ...

into product improvements What will set you apart Hands-on experience with the modern data stack, for example Iceberg or Delta, Snowflake or Databricks, dbt or Airflow Experience with a data migration or re-platforming project, on either the product or the engineering side Experience in financial services or another ...

warehousing \nProgramming: Advanced proficiency in Python and R for data manipulation and automation.Database: Expert-level SQL for complex querying and data modelling. Use of dbt to utilise SQL in a data warehouseOrchestration & Containers: Practical experience with Kubernetes and use of pipelines for deploying and scaling data services.\n Working Arrangements ...

Azure SQL, and Azure Data Factory. Snowflake Toolkit: Hands-on with Snowpipe, Streams, Tasks, Dynamic Tables, and Stored Procedures. Nice to Have: Exposure to DBT, Snowpark, Snowflake AI/ML, Airflow, and Snowflake administration (RBAC, warehouse sizing). Mindset: Strong problem-solving abilities with an ownership mindset ...

skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. You have experience with SQL, python/R, dbt (ideally) and building data pipelines. You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple ...

Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. \n You have experience with SQL, python/R, dbt (ideally) and building data pipelines. You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple ...

warehouse or lakehouse—dimensional, Data Vault, One Big Table or domain-driven approaches, fit to the use case Build and maintain transformation layers in dbt (or equivalent), with appropriate testing, documentation and lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses … performance tuning and warehouse-specific dialect Strong Python skills (or Scala/Java where relevant) for pipeline development and tooling Hands-on experience with dbt or equivalent transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift ...

production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools — Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness, reliability ...